Commit Graph

499 Commits (f1695eb8aed825f0d2a7ca36ba876e6a8e614786)

Author SHA1 Message Date
Robert Altena e7730eded4 delete unused and refactor. (#8262)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-12-05 22:25:41 -05:00
shugeo e09a785232 Shugeo resize fix5 (#102)
* Refactored resize images ops to use TF-like bool args as input.

* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.

* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.

* Refactored nearest_neighbor resize op.

* Added a pair of tests for special case of resize_bilinear algorithm.

* Fixed issue with resize_bilinear op.

* Refactored cpu implementation for helpers with resize_nearest_neighbor op.

* Final fixed for resize ops to conform TF v.1.5

* Refactored cuda helpers for resize_neares_neighbor op.

* Fixed resize_bilinear to accept proper data.

* Fixed issue with non-float input for resize_bilinear op.

* Refactored cuda helper for resize_bilinear to proper process non-float inputs.

* Added tests for resize_bilinear to int inputs.

* Fixed ResizeBilinear wrapper

* Tests fixed

* Fixed float and bool constant to avoid overflow for some kind of compilers.

* Corrected float constants with float data type.

* Added f suffix for float constants.

* Corrected float constant to avoid overflow with initializing lists.

* Corrected float initializing list with float input.

* Corrected bool constant with initalizing list.

* Corrected float and bool values with initializing lists.

* Fixed wrong constant.

* Fixed issue with 1x1 input picture for resize.

* ResizeBilinear default values on import fix

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-05 22:05:33 +03:00
Alex Black 2052ce7026
Various pre-release fixes (#111)
* Various fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix default dtypes for MaxPoolWithArgmax

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2019-12-05 14:20:03 +11:00
Fariz Rahman 0d14032d26 TF Updates (#87)
* tf updates

* pom

* copyright

* graphrunner tests

* gpu test

* getSessionOptionsConfigProto

* dtype fix

* Small fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* cast graphs

* savemodel test fix

* testresource instead of local

* Logging level

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* gson dependency issue fix; fix GraphRunnerTest for no session options config case

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* Final tweaks

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* few minor fixes

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* one more fix

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* Tweak configuration for GraphRunnerTest

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* nd4j align config

* tf warmup
2019-12-04 17:11:03 +11:00
raver119 25b3cd9b80
[WIP] CUDA tests (#95)
* one more CI test

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* export additional symbols

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* few more tweaks

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* one more tweak for linux

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* fix dtype in few tests

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* missing sync and memset in couple of tests

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* copy step for libnd4j cuda

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* no-op on empty for adjust hue/contrast/saturation

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* CUDA_VERBOSE Off

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* BroadcastBool fix + few tests

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* trigger jenkins

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* trigger jenkins

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* - ignore couple of warnings
- remove redundant compiler options

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2019-12-02 21:37:21 +03:00
Alexander Stoyakin 5e152c0d9a TF import tests - adding missing operations (#65)
* Add and fix mappings.

* Intermediate

* Added and fixed some mappings

* Added op

* Missing constructors added.

* Added new mappings

* SDImage wrappers and minor tweaks.

* Added missing constructor

* Some corrections

* Cleanup

* Small fixes

* Ops wrappers

* Minor fixes.

* Max Pooling

* MaxPoolWithArgmax

* Some fixes

* Ignores for failures

* Some ops fixed.

* Some fixes

* Missing package added

* Some fixes

* Ignored tests fixed.

* Some fixes

* Merge master

* bitcast fix

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* Bitcast fixed
2019-12-02 21:23:06 +11:00
Alex Black 8123d9fa9b
SameDiff: Add Java-level assertion check/exception (#96)
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-12-02 18:07:54 +11:00
Alex Black 2be47082c9
#8470 TrainingConfig json fix for Evaluation instances (#93)
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2019-11-30 20:08:30 +11:00
Alex Black 35ab4a72ba
TF import test resources loading precision fixes (#92)
* Fix precision issues when loading from CSV

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* Small tweak

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2019-11-30 18:58:37 +11:00
Alex Black 4fb9fa7748
Add ND4J namespaces (#83)
* Add NDValidation

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* Add bitwise namespace

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* Math namespace op constructor fixes

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* Constructor fixes

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* Add Math namespace

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* Update NDBitwise

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* Add random namespaces

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* Update

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* NN namespace

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* Small cleanup

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2019-11-30 18:39:32 +11:00
Yurii Shyrma d19eeaec52 Shyrma casual conv1d (#90)
* - add causal mode of padding to convolutions

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* - add additional tests for causal conv1d

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* - add causal mode for cuda conv kernels

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* Java side of Conv1D changes

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* Add Conv1DDerivative op

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* Causal Conv1D gradient checks

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* Tweaks

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* - add causal padding mode to conv2d_bp

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* More thorough causal conv1d tests

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2019-11-29 14:14:30 +03:00
Samuel Audet 5e07998e59 Add support for CUDA 10.2 (#89) 2019-11-29 16:31:03 +11:00
shugeo 009007120b Shugeo_release_fixes3 (#81)
* Implementation for non_max_suppression_v3 was added. Initial version

* Added check for overcome threshold.

* Added definition for V3 method.

* java remapping for NonMaxSuppressionV3

Signed-off-by: raver119 <raver119@gmail.com>

* Fixed proporly processing of an empty output and test.

* Refactored op to less threshold data to float.

* Implemented cuda-based helper for non_max_suppression_v3 op.

* Fixed fake_quant_with_min_max_vars op.

* Fixed tests with float numbers.

* - assert now stops execution
- sortByKey/sortByValue now have input validation

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* missing var

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* Fixed proper processing for zero max_size inputs.

* Refactored kernel callers.

* Fixed return statement for logdet op helper.

* Refactored unsorted segment SqrtN op.

* get back 8 tail bytes on CUDA

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* Refactored segment prod ops and helpers for cuda and tests.

* Additional test.

* CudaWorkspace tests updated for 8 tail bytes

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* special atomic test

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* atomicMul/atomicDiv fix for 16bit values

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* Eliminated waste prints.
2019-11-28 21:08:51 +03:00
Alex Black abd2017a0a
Add ignore for known issue with non_max_suppression_v2/float16 test (#85)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-27 16:35:05 +11:00
Alex Black 8843c7377a
Update shaded Jackson version to 2.10.1 (#82)
* Update shaded Jackson version to 2.10.1

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* Remove no longer needed scala compiler plugin from UI

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* Fix op name for BitwiseAnd op

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* TimeDistributedLayer mask array fix + test

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2019-11-26 19:24:38 +11:00
raver119 aa44fd6850 one more BitCast test
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2019-11-25 08:52:11 +03:00
Alex Black e910ce75ec
Various Fixes (#75)
* #8431 Cast loss function weights array automatically

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* Add 'regex verbose mode' printing (ExecDebugListener) for TFGraphTestAllSameDiff'

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* Class import mapping fix

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* Reshape fixes

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* Don't swallow first exception in NativeOpExecutioner.exec(CustomOp)

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2019-11-23 20:06:12 +11:00
shugeo 4187190609 Shugeo release fix2 (#70)
* Corrected input checking and tests for bitcast op.

* Fixed an issue with non_max_suppression form generation and processing with score threshold given.

* Fixed bilinear resize kernel and tests.

* push for Serhii

Signed-off-by: raver119 <raver119@gmail.com>

* Added test for nearest_neighbor resize with int input.

* Added data type check for input/output match.

* Eliminate error in macros.

* Improved output message for type checking.

* Fixed input/output types for op.

* Eliminated waste logging.

* Refactored resize_bilinear helper for multithreading for cpu platform.

* Cosmetic changes only.

* Fixed error for string substitution.

* Skip test for cbow_batch with cuda.

* fix for resizeNearestNeighbor output dtype

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* Refactored non_max_suppression helper.

* Refactored shape generation and input handling.

* Added additional test.
2019-11-22 22:42:44 +03:00
Alex Black 4a2fedf3e7
DL4J: Add Sparse multi-class cross entropy loss function (#72)
* #8432 Add sparse mcxent loss

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* Fixes for LossSparseMCXENT

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* add simple debugging listener for SameDiff exec debugging

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* Extra gradient check + header polishing

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2019-11-22 18:54:31 +11:00
Samuel Audet ff73e6da3f ND4J: Fix OpenBLAS loading for nd4j-native (#64)
* ND4J: Fix OpenBLAS loading for nd4j-native and remove bundling of OpenMP

Signed-off-by: Samuel Audet <samuel.audet@gmail.com>

* Bundle back libgomp.so.1 for Linux

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* Readd preload directories for ARM

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* Add back preloads for GCC on Windows

Signed-off-by: Samuel Audet <samuel.audet@gmail.com>

* Add explicit preloadpaths for ARM and POWER to bundle correct library

Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2019-11-21 15:54:41 +03:00
raver119 064a56ccf1
Few fixes (#66)
* skip legacy transforms execution in case of empty input arrays

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* - BroadcastBool ops now accept extraParams to make MatchCondition possible
- TrueBroadcastHelper now uses samediff::threads

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* java side

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* trigger jenkins

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* update LessThanOrEqual opNum mapping

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* update LessThanOrEqual opNum mapping

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2019-11-21 15:43:03 +03:00
raver119 83cb0d9329
[WIP] Create and small fix (#67)
* - create op
- skip exec for empty inputs for non_max_suppression
- EmptyHandling idea

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* Create op and mapping for it

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2019-11-21 13:31:20 +03:00
raver119 3f38900c33
J9+ -> J8 ByteBuffer fix (#59)
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2019-11-20 07:43:17 +03:00
Yurii Shyrma 66b84b38cf
Shyrma mmul (#58)
* - get rid of some copy procedures in mmulHelper ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on embedding cuda api for batched gemm (cublasGemmBatchedEx) in our mmulHelper class

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* - further work on cuda batched gamm api

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* - write own cuda kernel performing batched gemm

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* missing include in MmulHelper

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* - forgot to keep in code previous correct kernels for mmulNxN, since it may happen that new onw will fail for some reason in future

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* disable old tensordot

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* - rewrite cuda kernels for usualGemm and usualGemv

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* - profiling mmul helpers

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* - prints to check shapes were added

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* - correct type of output array Cin mmulNxN

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* - take into account possible nans in C array

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* slightly change numThreads message

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* - make corrections in accordance to given notes in pr review

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2019-11-19 15:39:36 +02:00
Alex Black da1944e8e1
SameDiff TF import (#49)
* Added implementation files for image_resize and resize_bicubic ops.

* Image resize and image.resize_bicubic ops implementation. Initial revision.

* Minor fix

* Some TF imports disabled.

* Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation.

* Refactored resize methods.

* Added processing for Mitchelcubic algorithm.

* adjust_contrast

* Small fix for TF import expected value loading when variable name starts with the test name

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Tests

* Tests added.

* Removed tf names absent in mapping.

* Some fixes.

* Small fixes

* Minor change

* Some failing tests.

* Disable failed test

* Ignore some tests

* Fix import class mapping

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* Fix float property mapping (flatbuffers)

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* Override equality function for model 'dropout'

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* Fail tests

* Failed tests ignored temporarily.

* Minor fixes

* Small fix

* Conflict resolved

* Default implementations of tensorflowName and onnxName
2019-11-19 22:44:29 +11:00
raver119 ce2ef20f96 additional reverse signatures
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2019-11-19 13:54:07 +03:00
raver119 db7ca956c5
[WIP] Mish (#55)
* Mish activation function and its derivative

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* signature fix

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* mish as activation for dl4j

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* javadoc

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* minor optimization

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2019-11-18 13:21:26 +03:00
raver119 c5cbdcd8f4
[WIP] clang for jcpp (#53)
* clang as compiler for jcpp

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* we don't need macos profile

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2019-11-17 09:45:30 +03:00
Alex Black 09a827fb6d
Fixes and pre-release QA (#51)
* #8395 Keras import - support scaled identity weight init

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* More Keras scaled weight init fixes

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* #8352 Deprecate duplicate SamplingDataSetIterator class

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* Remove /O2 optimization for faster CUDA build

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* Tweak regression test precision for CUDA

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* Fix edge cases for buffer creation

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* Update MKLDNN validation tests to new helper enable/disable settings

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* Delete debugging class

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* MKLDNN test - add proper skip for CUDA backend

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* Align WeightInitUtil with weight init classes

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* Fix for SameDiff test layers weight init when using IWeightInit classes

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2019-11-16 17:04:29 +11:00
raver119 1780dcc883
[WIP] Small fixes here and there (#50)
* one range test

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* few Context convenience singatures

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* one more range test

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* "range" "fix"

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* adjuct_contrast_v2 now allows scale factor to be provided via input_variable

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* adjust_contrast now allows scale factor as variable too

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* bitcast shape tests

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* BitCast import dtype added

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* few more BitCast signatures

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2019-11-15 17:04:29 +03:00
raver119 c5b912bddf
few changes for openblas and jcpp preloads (on macos) (#46)
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2019-11-14 19:50:24 +03:00
raver119 1eb3de90d7
[WIP] Platform helpers switches (#44)
* - platform helpers can be disabled on per-op basis now via Context::allowHelpers
- java has access to it as well

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* global platform-helpers trigger

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* few signatures renamed

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* - few new env variables to follow
- maxThreads/masterThreads differentiation

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* Javadoc update

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2019-11-14 14:35:02 +03:00
Alex Black 47d19908f4
Various fixes (#43)
* #8172 Enable DL4J MKLDNN batch norm backward pass

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* #8382 INDArray.toString() rank 1 brackets / ambiguity fix

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* #8308 Fix handful of broken links (inc. some in errors)

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* Unused dependencies, round 1

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* Unused dependencies, round 2

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* Unused dependencies, round 3

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* Small fix

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* Uniform distribution TF import fix

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2019-11-14 19:38:20 +11:00
raver119 48df1acdfb
[WIP] ThreadPool (#8)
This PR removes OpenMP use in 95% of cases
2019-11-13 17:04:59 +03:00
Alex Black 1d96bb9e6e
SameDiff op runtime benchmarking listener (#42)
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2019-11-12 22:51:09 +11:00
Alex Black 18c01f5bdc
Add SameDiff memory reuse memory manager (array cache) (#39)
* Attention op comments

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* ArrayCacheMemoryMgr - first pass

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* Tweak array cache for use with SameDiff identity arrays

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* ArrayCacheMemoryMgr javadoc and properly get max memory

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* LRU cache policy + add tests

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* Fixes

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* Resize arrays internally if required for ArrayCacheMemoryMgr

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* Test improvement

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* Small polish

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2019-11-12 21:15:44 +11:00
AlexDBlack 0107fb10ab Merge remote-tracking branch 'konduit/master' 2019-11-08 18:11:45 +11:00
Alex Black 2f84ea666d
Uniform distribution op tweaks + 'specified output dtype' constructor (#38)
* Uniform distribution op tweaks + 'specified output dtype' constructor

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* Validation tweak

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2019-11-08 18:08:25 +11:00
Alex Black 24980efde3
Fix LogSumExp along dimension (#35)
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2019-11-07 23:36:15 +11:00
Samuel Audet 73b5a508fc Update dependencies to just released JavaCPP and JavaCV 1.5.2
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2019-11-07 17:57:34 +09:00
longzhendong 52c9918c6f Testing slice and concat (#8362) 2019-11-07 14:47:37 +11:00
Alex Black df8b4e607a
SameDiff: make use of DeviceLocal configurable (#32)
* #8340 make DeviceLocal configurable

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* Small fix

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* Javadoc

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* DL4J SameDiff layers: use SingleThreadArrayHolder to avoid assigns + DeviceLocalNDArray overhead

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* Javadoc

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2019-11-06 18:52:41 +11:00
AlexDBlack 7583ccfa15 Merge
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2019-11-06 13:28:03 +11:00
Alex Black 948ebef41c
Op Fixes (#28)
* #8280 biasadd_bp nchw arg fixes (java side) + test

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8285 Concat op Java side fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Concat op cpp fix - allow dynamic axis to be negative, same as static axis

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* ignores for deconv3d import tests until deconv3d_tf op is implemented

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-05 00:05:04 +11:00
Alex Black 4763547c9e
Add Deconv3DTF (#25)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-04 12:42:11 +11:00
Alex Black 5e312374d0
TF deconv3d import (#8341)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-02 22:57:24 +11:00
AlexDBlack 2844f8b69a Merge remote-tracking branch 'konduit/master' 2019-11-02 19:00:47 +11:00
Alex Black 9efd811508
Use DL4J workspaces for SameDiff layers in MLN/CG (#23)
* #8329 DL4J workspace integration for SameDiff layers

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix bug for Nd4j.createUninitializedDetached for scalars (length 0 shape array)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* SameDiff output layer, graph vertex, various fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Javadoc

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-02 17:42:01 +11:00
Alex Black d82877b18b
Various SameDiff fixes (#21)
* MKLDNN LSTM forward implementation (disabled pending #8331)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8318 add SameDiff.calculateGradientsAndOutputs

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* Disable mkldnn backprop for now - pending fix, issue #8335

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* #8337 Fix CudaExecutioner unnecessary result array allocation/replacement

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* Small FlatBuffers serde fix, UInt8

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* #8135 ImagePreProcessingScaler - add segmentation support

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* #8319 Ensure listeners are called when they are supposed to be called

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* #8214 UNet (non-pretrained) last conv layer kernal size fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-02 11:25:53 +11:00
Alexander Stoyakin b816845797
Fixing nd4j-cuda build (#20)
* Roll back recent fix to restore build.

* Fix compilation.

* presets updated

Signed-off-by: raver119 <raver119@gmail.com>
2019-11-01 15:59:29 +02:00
Alexander Stoyakin 45a40c8a89
DL4J/ND4J: Do pass on integer casts (#15)
* Int cast fixes.

* Revert "Int cast fixes."

This reverts commit aa36e8ca

* Int casts

* Int cast

* Int casts

* Get rid of int casts. Dropping deprecated aggregate ops.

* java scatterUpdate changes

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* c++ scatterUpdate changes

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* Remove aggregated ops.

* Restored test

* Tests restored.

* Minor fixes
2019-10-31 11:23:09 +02:00
raver119 5a4d2e8b31
[WIP] SVD (#16)
* - new SVD constructor
- OrthogonalDistribution now uses SVD custom op

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* shapes fixed

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2019-10-28 12:31:01 +03:00
Yurii Shyrma 029a69a835
Shyrma bn mkl bp (#14)
* - write code for new batchnorm backprop

Signed-off-by: Yurii <iuriish@yahoo.com>

* - testing batchnorm backprop

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* - write code for batchnorm backprop based on mkl dnn api

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* - testing and fixing bugs in batchnorm_bp mkl dnn

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* - made corrections required by reviewer

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* - change name in java wrapper for batchnorm op

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2019-10-26 14:14:21 +03:00
Alex Black d333d29099
SameDiff cleanup and fixes (#12)
* #8160 Remove resolvePrepertiesFromSameDiffBeforeExecution

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* SameDiff API cleanup

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* More SameDiff cleanup

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* Small fixes

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* #8248 Switch SameDiff variable init from lazy to creation time for more predictable behaviour

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* #8252 TanhDerivative javadoc

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* #8225 Deconvolution2D input validation

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* #8265 Switch SameDiff.outputs() to user settable, instead of unreliable 'best guess'

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* #8224 SameDiff.zero and .one create constants, not variables

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* More cleanup and fixes

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* Small test fix

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* Small fix

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* DL4J SameDiff fixes

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* Re-add hack for Deconvolution2DLayer until #8315 is resolved

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* #8270 Move CUDA device/version logging to Java; can be disabled via existing org.nd4j.log.initialization system property

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* All ND4J init logging checks system property

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* Small tweak

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* Remove redundant device logging

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* One more fix

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* UX improvements

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* Deconv fix

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* Add deconv tests

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* Cleanup

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* Remove debug code

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2019-10-26 12:38:08 +11:00
Alex Black 730442ae21
Remove bad import (#13)
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2019-10-24 20:51:15 +11:00
Alex Black 3f0b4a2d4c
SameDiff execution, TF and memory management overhaul (#10)
* SameDiff execution memory management improvements, round 1

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* Round 2

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* Round 3

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* Clear node outputs closed array references; Slight change to OpValidation internals to not rely on cached op outputs

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* Next steps

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* Next step

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* Cleanup

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* More polish

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* Fix

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* Add WeakIdentityHashmap

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* Session fixes for control ops and next steps

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* More fixes

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* Fixes

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* First steps for training session + in-line updating

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* Next steps

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* Fix losses and history during training

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* More fixes

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* BiasAdd and other fixes

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* Don't use SDVariable.getArr() in TFGraphTestAllHelper (import tests)

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* Small fix

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* Cleanup

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* First steps for new dependency tracking approach

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* Start integrating dependency tracking for memory management

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* Non-control op dependency tracking works/passes

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* Switch/merge

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* Next steps

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* Cleanup and next steps

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* Small fixes

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* Fix issue dependency tracking for initial variables/constants

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* Add check for aliases when determining if safe to close array

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* First pass on new TF graph import class

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* Import fixes, op fixes

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* Cleanup and fixes for new TF import mapper

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* More cleanup

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* Partial implementation of new dependency tracker

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* Next steps

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* AbstractDependencyTracker for shared code

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* Overhaul SameDiff graph execution (dependency tracking)

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* More fixes, cleanup, next steps

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* Ad no-op memory manager, cleanup, fixes

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* Fix switch dependency tracking

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* INDArray.toString: no exception on closed arrays, just note closed

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* Fix enter and exit dependency tracking

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* TensorArray memory management fixes

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* Add unique ID for INDArray instances

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* Fix memory management for NextIteration outputs in multi-iteration loops

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* Remove (now unnecessary) special case handling for nested enters

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* Cleanup

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* Handle control dependencies during execution; javadoc for memory managers

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* Cleanup, polish, code comments, javadoc

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* Cleanup and more javadoc

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* Add memory validation for all TF import tests - ensure all arrays (except outputs) are released

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* Clean up arrays waiting on unexecuted ops at the end of execution

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* Fixes for enter op memory managent in the context of multiple non-nested loops/frames

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* Fix order of operation issues for dependency tracker

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* Always clear op fields after execution to avoid leaks or unintended array reuse

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* Small fixes

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* Re-implement dtype conversion

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* Fix for control dependencies execution (dependency tracking)

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* Fix TF import overrides and filtering

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* Fix for constant enter array dependency tracking

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* DL4J Fixes

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* More DL4J fixes

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* Cleanup and polish

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* More polish and javadoc

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* More logging level tweaks, small DL4J fix

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* Small fix to DL4J SameDiffLayer

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* Fix empty array deserialization, add extra deserialization checks

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* FlatBuffers control dep serialization fixes; test serialization as part of all TF import tests

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* Variable control dependencies serialization fix

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* Fix issue with removing inputs for ops

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* FlatBuffers NDArray deserialization fix

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* FlatBuffers NDArray deserialization fix

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* Small fix

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* Small fix

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* Final cleanup/polish

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2019-10-23 21:19:50 +11:00
Alexander Stoyakin f31661e13b
Merge pull request #7 from KonduitAI/asto_nd4s_10172019
KDTree optimization
2019-10-23 12:11:25 +03:00
Alexander Stoyakin 9e5799847a TF names fixed. 2019-10-16 19:50:18 +03:00
Alexander Stoyakin 502bedf5d5 Register ops for TF import. 2019-10-16 19:39:04 +03:00
Alexander Stoyakin ec722b20ee TF names added 2019-10-16 19:29:19 +03:00
Alexander Stoyakin 99d77e1384 Ops exported for sameDiff 2019-10-16 19:16:47 +03:00
Alexander Stoyakin d5002b14c7 New ops wrappers 2019-10-16 12:59:08 +03:00
Alex Black b9a4b0f25f
Update links (#8292)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-16 12:59:52 +11:00
Robert Altena 50b13fadc8 nd4j-api cleanup. (#8273)
* nd4j-api cleanup.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* restore deleted schemes.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-10-08 21:48:22 +11:00
Robert Altena 1f4ad08305 refactoring activations. (#8261)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-10-03 20:35:27 +10:00
Alex Black f98f8be7b6
SameDiff ops (#8247)
* update javadocs and a few method signatures

Signed-off-by: Ryan Nett <rnett@skymind.io>

* add PRelu op

Signed-off-by: Ryan Nett <rnett@skymind.io>

* test and fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* add PRelu op

Signed-off-by: Ryan Nett <rnett@skymind.io>

* test and fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* slightly better test

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-09-19 11:52:20 +10:00
Steven Lang d58a4b45b1 Fix Nadam updater clone missing schedule (#8243)
Signed-off-by: Steven Lang <steven.lang.mz@gmail.com>
2019-09-17 22:56:49 +03:00
Robert Altena 83d958d536 Sparse matrix refactoring. (#8238)
* remove sparse method from INDArray.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* remove gemm

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* remove useage of n4j.sparseFactory

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* Nd4j.sparseFactory removed.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* sparseNDArray deleted.

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* iremove more sparse calls and constants.

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* remove SparseBlasWrapper.

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* delete BaseSparseBlaswrapper.

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* remove 3 sparse factory classes.

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* delete SparseCPULevel.

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* deletes JcusparseLevel, CUDASparselevel.

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* delete nativeCPU sparse classes.

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* removes sparse methods from NDArrayFactory.

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* more deletes.

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* delete (ignored) tests. BaseSparseNDArray.

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* deletes ISparseNDArray.

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* remove sparse methods from indArray.

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* deletes sparse classes.

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2019-09-17 22:56:29 +03:00
raver119 979ef13c0b fix build issues
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-13 11:55:13 +03:00
raver119 2bd69c004c
[WIP] Fixed signatures. SameDiff tests (#258) (#8233)
* Fixed signatures. SameDiff tests

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* Tests fixed

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* Test fixed

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* Small fix

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* Fixed test

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2019-09-12 19:25:03 +03:00
AlexDBlack a66e03355e Merge remote-tracking branch 'fork/master' 2019-09-12 12:20:57 +10:00
raver119 07901ceb69 few more mkldnn dependencies removed
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2019-09-12 04:55:59 +03:00
raver119 98e2814879
Platform helpers (#8216)
* platform helpers draft

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* typo

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* disable platform cmake

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* another draft

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* mkldnn convolution refactored

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* minor tweaks

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* one more safety check

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* prototype works

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* meh

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* force static library mode for mkldnn

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* - ismax fix
- experimental arg fix
- don't enforce openblas on Apple hardware

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* bunch of small fixes

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* declare concurrent

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* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update

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* - avgpool2d_bp/maxpool2d_bp APIs update

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* - conv2d/batchnorm APIs update

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* - lrn/conv2d_bp/conv3d/conv3d_bp APIs update

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* all ops converted to MKLDNN 1.x

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* bunch of tweaks

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* namespace for platform helpers

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* make sure platform helpers aren't opimized out

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* build cpu_features on x86 systems

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* build cpu_features on x86 systems

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* more of cpu_features

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* - mkldnn removed from java
- cpu_features checks in CpuNDArrayFactory

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* F16C definition renamed

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* some mkldnn rearrangements

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* check supported instructions before doing anything

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* typo

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* missied impl

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* BUILD_PIC option

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* conv2d fix

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* avgpool3d fix

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* avgpool3d_bp fix

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* avgpool2d_bp leak fix

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* avgpool3d_bp leak fix

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* maxpool bp leaks fixed

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* printf removed

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* batchnorm fix

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* AVX warning/error polishing

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* Fix

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* More polish

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* Polish

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* remove previous MKL-DNN support layer

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* avx2 tweak

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* allow static for apple

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* exclude mkldnn in one more place

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* exclude mkldnn in one more place

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* restore OPENBLAS_PATH use

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* add runtime check for avx/avx2 support

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* convolution_auto

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* Add logic for helper argument

* minor test fix

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* few tweaks

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* few tweaks

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* skip OpTracker props for non-x86 builds

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* linux arm isn't x86 :)

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* avx-512

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* CUDA presets fix

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* BUILD_PIC

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* prefetchw for avx2

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* BUILD_PIC again

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2019-09-11 21:50:28 +03:00
Alex Black 3e73e9b56e
Fixes, cleanup, enable now fixed tests, etc (#254)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-11 23:37:24 +10:00
Ryan Nett 8a05ec2a97
Fix a couple SameDiff training issues (#253)
* fix execBackwards training issue

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix validation not specifying outputs

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* another fix for validation listeners and history

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* tests

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* add single batch dataset output methods

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2019-09-10 20:38:23 -07:00
Alex Black 4f7b35ac82
Update links to eclipse repos (#252)
* Fix repo links and clean up old github templates

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* More link updates

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2019-09-10 19:09:46 +10:00
Alex Black f91970734b
Another small fix (#251)
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2019-09-10 13:14:29 +10:00
Alex Black 3fb9aecb59
Fix for null shape in SameDiff.var validation (#250)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-10 12:22:10 +10:00
Alex Black b582e69e3b
Small ND4J/SameDiff fixes (#248)
* #8218 Fix Nd4j.hstack rank 1 case

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* #8209 SameDiff: don't allow empty arrays (with 0s in shape) for variables

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2019-09-09 22:54:07 +10:00
Robert Altena c99f980513 INDArray javadoc (#246)
* javadoc

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* javadoc

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* javadoc

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* review fixes.

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2019-09-09 13:09:31 +10:00
AlexDBlack a76a44e198 Merge remote-tracking branch 'fork/master' 2019-09-05 22:04:25 +10:00
Alex Black 52d2795193
Another round of small fixes (#241)
* Small base spark test fix; ROC toString for empty ROC

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* More fixes

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2019-09-05 17:01:47 +10:00
Alex Black 87d873929f
Small LapackTest fix (#240)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-05 14:25:20 +10:00
Ryan Nett 79867f5c5a cleanup SDRNN and rnn ops (#238)
Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-09-05 12:25:03 +10:00
Alex Black 7d85775934
Arbiter generic JSON ser/de fixes (#237)
* Arbiter generic JSON ser/de fixes

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* Javadoc fix

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2019-09-05 11:51:11 +10:00
Robert Altena f25e3e71e5 remove lengthLong (#236)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-05 11:19:38 +10:00
AlexDBlack b7226bdd7a Merge
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2019-09-05 00:54:11 +10:00
Alex Black 03c52ef9dd
Add SameDiff.bitwise namespace (#232)
* #8196 add SameDiff.bitwise namespace

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* Add BitsHammingDistance, add remaining bitwise ops to bitwise namespace

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* fix

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2019-09-04 22:34:31 +10:00
raver119 a90c7dd995
[WIP] Last set of changes (#234)
* mmul op instead of cublasSgemm

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* transB

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* jcpp handles

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* bitwise and/or/xor

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* bitwise and/or/xor mapping

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* cuda/cublas version check

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* add expected version

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* cuda/cublas version check in java

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* one more error check

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* build fix

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* build fix

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* build fix

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* one more fix

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* skip CUDA version check for now

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* better wording

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* few more tweaks

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* few more tweaks

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2019-09-04 14:41:08 +03:00
Ryan Nett e9454b8882
SDCNN cleanup pass (#230)
* SDCNN cleanup

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* NonNull annotations

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* better javadoc, NonNull fix for sconv

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* update builders to fix names

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* fixes

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* even more fixes

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* fix for null bias

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2019-09-04 00:44:01 -07:00
Alex Black 6cc887bee9
Rename flatbuffers DataType to DType (#228)
* Rename flatbuffers DataType enum to DType

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* Rename flatbuffers DataType enum to DType

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* Updates for flatbuffers datatype enum renaming

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2019-09-04 16:36:11 +10:00
Robert Altena 25b01f7850 javadoc and remove deprecated methods. (#231)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-04 13:29:02 +10:00
raver119 7abc574eeb
Snapshot update (#8194)
* fix double consumption of rng on cpu

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* Shyrma docs (#222)

* - documenting and profiling matrix_set_diag cuda kernel

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* - correct formula of pnorm pooling in cuda 2d/3d kernels
- remove helper matrix_diag which duplicates work of helper matrix_set_diag

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* cublasHandle sharing + lock

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* cublasHandle sharing + lock

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* Documentation from serialization/deserialization in NLP (#221)

* refactoring

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* Javadocs

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* Javadoc fixed

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* Cleanup

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* dedicated lock for getCudaCublasHandle

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* Small fixes (#223)

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* ELU DL4J fixes (#224)

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* javadoc (#225)

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* Small test compilation fix (#226)

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* #8182 remove spark version suffix (#227)

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* [WIP] Thread safety (#229)

* sync after cublas*gemm

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* mutex for CublasHelper

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* don't store cublasHandle in LaunchContext, it's per-device anyway

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* some printout

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* check for field instead

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* pew-pew

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* don't release ContextBuffers until device changed

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* small tweak

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* some logging in sgemm

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* stream sync

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* some more logging

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* some more error checks

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* one fancy test

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* one fancy test

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* minor AffinityManager fix

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* cudaEvent error logging improvement

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* ConstantHelper thread safety

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* - minor corrections in ConstantTadHelper

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* ConstantShapeHelper thread safety

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* ConstantTadHelper.cu updated

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* logging off

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* logging off

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2019-09-03 22:02:02 +03:00
raver119 dddc8a1143
[WIP] Thread safety (#229)
* sync after cublas*gemm

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* mutex for CublasHelper

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* don't store cublasHandle in LaunchContext, it's per-device anyway

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* some printout

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* check for field instead

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* pew-pew

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* don't release ContextBuffers until device changed

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* small tweak

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* some logging in sgemm

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* stream sync

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* some more logging

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* some more error checks

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* one fancy test

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* one fancy test

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* minor AffinityManager fix

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* cudaEvent error logging improvement

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* ConstantHelper thread safety

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* - minor corrections in ConstantTadHelper

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* ConstantShapeHelper thread safety

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* ConstantTadHelper.cu updated

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* logging off

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* logging off

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2019-09-03 22:00:38 +03:00
Robert Altena c64b340975 javadoc (#225)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-03 14:06:42 +10:00
Alex Black 364a6e1a2a
ELU DL4J fixes (#224)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-03 13:35:02 +10:00
raver119 d3253aff3f dedicated lock for getCudaCublasHandle
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2019-09-02 20:01:13 +03:00
raver119 2129d5bcac cublasHandle sharing + lock
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2019-09-02 16:52:28 +03:00
raver119 18828f9725 cublasHandle sharing + lock
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2019-09-02 16:52:10 +03:00
AlexDBlack 7ded4416cb Merge remote-tracking branch 'fork/master' 2019-09-02 18:52:12 +10:00
Alex Black 82c9dc5743
ELU fix (#219)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-02 18:37:05 +10:00
Alex Black 65c9f2a888
ELU fix (#217)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-02 17:42:12 +10:00
Ryan Nett b3a134b608 New Nd4j backprop ops for activations (#211)
* new (for java at least) backprop ops

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* update activation functions

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* add differential functions for SameDiff

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* deprecate old ops

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* update correct old ops

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* update ops backprop to use new ops

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* misc updates for deprecated functions (mostly Nd4j.rand w/ vararg shape)

Signed-off-by: Ryan Nett <rnett@skymind.io>

* remove old imports

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-09-02 16:15:23 +10:00
Robert Altena 6d04d30c94 INDArray.java javadoc (#215)
* javadoc

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* javadoc

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2019-09-02 16:06:20 +10:00
Robert Altena ef1de6a4aa rcorbish #8617 (#8188)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-01 07:17:36 +03:00
raver119 b71c993ded
[WIP] maxpool_bp cuda fix (#212)
* one test for alex

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* fix

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* get rid of safety offset in cpp

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* bfloat16

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* minor test rearrangement to fastpath launch

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* - atomicAdd/Mul/Div fix for float16/bfloat16 misalignment
- one special test for maxpoolbp java
- safety offset of 8 bytes is back to libnd4j legacy

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2019-08-31 20:57:05 +03:00
Alex Black 6efffb727f
Import fix (#208)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-30 23:40:52 +10:00
Alex Black a7dca9fc87
Add java op class for relu derivative, and use in Activation ReLU (#207)
* Add java op class for relu derivative, and use in ACtivation ReLU

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* Fix

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2019-08-30 23:36:00 +10:00
raver119 70a9ae5068
[WIP] few tweaks (#206)
* scatter empty check

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* scatter empty test

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* one more test

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* two tweaks

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* dup tweak

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* - put empty checking of indices array immediately prior  helper run

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* minor tests fix

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* minor tests fix

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2019-08-30 16:32:01 +03:00
Robert Altena 54e320a255 javadoc (#201)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-30 22:40:27 +10:00
Alex Black 62e96c9724
Guava Function -> nd4j-common Function (#203)
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-08-30 20:39:43 +10:00
raver119 1003428a18
[WIP] Int broadcastables (#195)
* Removed invalid resource and fixed tests

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* legacy scalar/pairwise/broadcast int ops

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* NDArray int broadcastables

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* few more bitwise tests

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* java side update

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* Argument type changed for shift ops

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* legacy scalar/pairwise/broadcast int ops

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* NDArray int broadcastables

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* few more bitwise tests

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* java side update

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* Argument type changed for shift ops

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2019-08-30 10:12:40 +03:00
Alex Black 130c9aa536
Fixes (#202)
* Remove unnecessary dup in MKLDNNSubsamplingHelper

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* gson dep fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-30 16:36:14 +10:00
Alex Black dcc2baa676
Version upgrades (#199)
* DataVec fixes for Jackson version upgrade

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* DL4J jackson updates + databind version 2.9.9.3

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* Shade snakeyaml along with jackson

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* Version fix

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* Switch DataVec legacy JSON format handling to mixins

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* Next set of fixes

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* Cleanup for legacy JSON mapping

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* Upgrade commons compress to 1.18; small test fix

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* New Jackson backward compatibility for DL4J - Round 1

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* New Jackson backward compatibility for DL4J - Round 2

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* More fixes, all but legacy custom passing

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* Provide an upgrade path for custom layers for models in pre-1.0.0-beta JSON format

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* Legacy deserialization cleanup

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* Small amount of polish - legacy JSON

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* Upgrade guava version

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* IEvaluation legacy format deserialization fix

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* Upgrade play version to 2.7.3

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* Update nd4j-parameter-server-status to new Play API

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* Update DL4J UI for new play version

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* More play framework updates

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* Small fixes

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* Remove Spark 1/2 adapter code from DataVec

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* datavec-spark dependency cleanup

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* DL4J spark updates, pt 1

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* DL4J spark updates, pt 2

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* DL4J spark updates, pt 3

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* DL4J spark updates, pt 4

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* Test fix

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* Another fix

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* Breeze upgrade, dependency cleanup

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* Add Scala 2.12 version to pom.xml

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* change-scala-versions.sh - add scala 2.12, remove 2.10

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* Move Spark version properties to parent pom (now that only one spark version is supported)

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* DataVec Play fixes

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* datavec play dependency fixes

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* Clean up old spark/jackson stuff

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* Cleanup jackson unused dependencies

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* Dropping redundant dependency

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* Removed scalaxy dependency

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* DataVec fixes for Jackson version upgrade

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* DL4J jackson updates + databind version 2.9.9.3

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* Shade snakeyaml along with jackson

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* Version fix

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* Switch DataVec legacy JSON format handling to mixins

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* Next set of fixes

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* Cleanup for legacy JSON mapping

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* Upgrade commons compress to 1.18; small test fix

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* New Jackson backward compatibility for DL4J - Round 1

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* New Jackson backward compatibility for DL4J - Round 2

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* More fixes, all but legacy custom passing

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Provide an upgrade path for custom layers for models in pre-1.0.0-beta JSON format

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* Legacy deserialization cleanup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small amount of polish - legacy JSON

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* Upgrade guava version

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* IEvaluation legacy format deserialization fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Upgrade play version to 2.7.3

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* Update nd4j-parameter-server-status to new Play API

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* Update DL4J UI for new play version

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* More play framework updates

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Remove Spark 1/2 adapter code from DataVec

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* datavec-spark dependency cleanup

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* DL4J spark updates, pt 1

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* DL4J spark updates, pt 2

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* DL4J spark updates, pt 3

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* DL4J spark updates, pt 4

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* Test fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Another fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Breeze upgrade, dependency cleanup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Add Scala 2.12 version to pom.xml

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* change-scala-versions.sh - add scala 2.12, remove 2.10

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Move Spark version properties to parent pom (now that only one spark version is supported)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DataVec Play fixes

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* datavec play dependency fixes

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* Clean up old spark/jackson stuff

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Cleanup jackson unused dependencies

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Add shaded guava

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Dropping redundant dependency

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Removed scalaxy dependency

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Ensure not possible to import pre-shaded classes, and remove direct guava dependencies in favor of shaded

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* ND4J Shaded guava import fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DataVec and DL4J guava shading

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Arbiter, RL4J fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Build fixed

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Fix dependency

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Fix bad merge

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Jackson shading fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Set play secret, datavec-spark-inference-server

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix for datavec-spark-inference-server

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Arbiter fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Arbiter fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small test fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-30 14:35:27 +10:00
Serhii Shepel 0463ee4eba Fix backend dependencies for tests (#189) 2019-08-29 12:54:48 +09:00
Yurii Shyrma 70af8c2afc Shyrma svd (#191)
* - add one additional test for svd

* - provide float argument in eye op to be a type of output array

Signed-off-by: Yurii <yurii@skymind.io>

* - add cuda capability check to mmulHelper

Signed-off-by: Yurii <yurii@skymind.io>

* - make use another method for divice id evaluation

Signed-off-by: Yurii <yurii@skymind.io>

* Eye data type as T argument

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-28 18:27:08 +03:00
raver119 f4860574d7
[WIP] More fixes (#190)
* Refactored kernels for segment_max/min/sum ops.

* Refactored segment_prod kernels.

* Refactored segment_prod kernels.

* DynamicPartition test

Signed-off-by: raver119 <raver119@gmail.com>

* Addede linear test for dynamic_partition op.

* Refactored test with int datatype.

* some logging

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* some logging

Signed-off-by: raver119 <raver119@gmail.com>

* some logging

Signed-off-by: raver119 <raver119@gmail.com>

* dynamicPartition fix

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* get rid of some logging

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* one more test for dynamic_stitch

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* one more test for dynamic_stitch

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* empty check for stitch

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* minor print changes

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-28 15:38:57 +03:00
Ryan Nett 2a1431264f
Remove calculate output shape from java side (#151)
* remove some unneeded java-side output shape calculations

Signed-off-by: Ryan Nett <rnett@skymind.io>

* delete Broadcast

Signed-off-by: Ryan Nett <rnett@skymind.io>

* delete Linear and Module,

Signed-off-by: Ryan Nett <rnett@skymind.io>

* update Identity, HashCode, and NoOp

Signed-off-by: Ryan Nett <rnett@skymind.io>

* removed Cast java-side shape function, added tests and SDVariable.isEmpty

Signed-off-by: Ryan Nett <rnett@skymind.io>

* ignoring test w/ issues on master

Signed-off-by: Ryan Nett <rnett@skymind.io>

* noop needs more work, fixed BaseArithmeticBackprop and BaseDynamicTransform ops

merge in master for c++ build fix

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix EqualTo

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix other cond ops

Signed-off-by: Ryan Nett <rnett@skymind.io>

* "fake" ops calculateOutputShape() throws exception

Signed-off-by: Ryan Nett <rnett@skymind.io>

* use c++ shape calc for Linspace

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix exception message, move most to BaseCompatOp

Signed-off-by: Ryan Nett <rnett@skymind.io>

* remove SDVariable.isEmpty

Signed-off-by: Ryan Nett <rnett@skymind.io>

* remove commented out code

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-08-27 20:39:32 -07:00
Alex Black b46f9827b8
Layer norm test updates (#187)
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-08-28 13:27:00 +10:00
Robert Altena 59a6e4e3ae
INDArray refactoring (#170)
* javadoc

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* remove javaTensorAlongDimension

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* javadoc
2019-08-28 12:03:23 +09:00
Ryan Nett d31197db5f Remove resolvePropertiesFromSameDiffBeforeExecution() (#172)
* remove unneeded resolveProperties methods

Signed-off-by: Ryan Nett <rnett@skymind.io>

* final fixes, make final to prevent more from being added

Signed-off-by: Ryan Nett <rnett@skymind.io>

* gather fix

Signed-off-by: Ryan Nett <rnett@skymind.io>

* deprecate DifferentialFunction resolveProps

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-08-28 11:02:41 +10:00
raver119 b472d7d8c8
[WIP] few more fixes (#182)
* one noop test

Signed-off-by: raver119 <raver119@gmail.com>

* skip input validation for no-input ops

Signed-off-by: raver119 <raver119@gmail.com>

* - one more noop empty test
- one more validation before sync

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* typo

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* one more validation fix

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* CUDA empty reductions java side

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* one svd test

Signed-off-by: raver119 <raver119@gmail.com>

* Corrected segment_mean helpers and added another test.

* Refactored segment_mean kernels to avoid race_condition.
2019-08-27 21:00:38 +03:00
Alex Black 9d325ad070
Small optimization to Nd4j.readNumpy (#183)
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-08-27 23:27:41 +10:00
Alex Black dff599aa8f
Test fix (#179)
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-08-27 20:43:36 +10:00
raver119 a49f7c908b
[WIP] More fixes (#178)
* skip string arrays for device validation

Signed-off-by: raver119 <raver119@gmail.com>

* histogram_fixed_width now really supports indexing types

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-27 13:21:01 +03:00
Alex Black fd22a8ecc7
Small build fix, after last PR (#177)
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-08-27 19:46:26 +10:00
Alex Black 5cfbeb64ac
Another small fix (#175)
* Layer norm 4d case fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-27 19:10:31 +10:00
Alex Black dce4751fc1
Layer norm 4d case fixes (#174)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-27 18:34:53 +10:00
raver119 05d45ec050 IndexReduce along dim CUDA fix
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-27 11:31:59 +03:00
raver119 df84bc7255
[WIP] More tweaks (#173)
* CUDA empty reduction

Signed-off-by: raver119 <raver119@gmail.com>

* - listdiff synchronization fix for CUDA
- listdiff test

Signed-off-by: raver119 <raver119@gmail.com>

* - IndexReduce ops now allow INDEXING_TYPES output
- topK op accepts only INDEXING_TYPES as output

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-27 10:37:10 +03:00
Alex Black e92f7218f3
Add new tests (#171)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-27 12:15:56 +10:00
raver119 25e5c23eae
[WIP] Error handling (#169)
* CUDA reverse rewrite + couple of tests

Signed-off-by: raver119 <raver119@gmail.com>

* don't throw exception on invalid pointer

Signed-off-by: raver119 <raver119@gmail.com>

* data types validation for fastpath exec mode + 2 tests

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* data types validation for fastpath exec mode + 2 tests

Signed-off-by: raver119 <raver119@gmail.com>

* ismax allowed dtypes tweak

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* lastErrorCode + lastErrorMessage for native exceptions handling

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* exportable ErrorReference

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* check error codes in java

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* - consume lastErrorCode
- fast_in dtype validation fix

Signed-off-by: raver119 <raver119@gmail.com>

* - sg/cb allowed output type change
- minor logging fix for data type validation

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-26 19:57:51 +03:00
raver119 bb5fc36e5e
[WIP] ops fixes (#168)
* - correct layer_norm

Signed-off-by: Yurii <yurii@skymind.io>

* - further fix of layer norm

Signed-off-by: Yurii <yurii@skymind.io>

* - correct scatter_upd op

Signed-off-by: Yurii <yurii@skymind.io>

* - correct cuda kernel for histogram_fixed_width op

Signed-off-by: Yurii <yurii@skymind.io>

* - delete comments

Signed-off-by: Yurii <yurii@skymind.io>

* enabled one ignored test

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-26 19:37:05 +03:00
Alex Black b417ca21bf
Fix for concat op shape function (empty shapes) (#167)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-26 23:10:28 +10:00
Robert Altena 9a513a9aa6
INDArray javadocs (#166)
* small fix of compiler warnings in nd4j.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* indarray javadoc start.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-26 16:01:20 +09:00
Alex Black d607bec6f9
Small test fixes (#165)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-26 11:45:33 +10:00
Alex Black a9b08cc163
Upgrade protobuf version (#162)
* First steps for protobuf version upgrade

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Phase 2

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Update imports to shaded protobuf

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* Version fix

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* Switch to single execution for protobuf codegen to work around plugin bug

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Automatically delete old PB generated files after name change

Signed-off-by: Alex Black <blacka101@gmail.com>
2019-08-24 19:22:36 +10:00
raver119 f8364997c0
[WIP] maxpool2d_bp fix (#160)
* one test for maxpool2d_bp

Signed-off-by: raver119 <raver119@gmail.com>

* - maxpool2d_bp cuda fix for NaNs
- streamSync after each custom op execution

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-24 09:20:57 +03:00
raver119 f03b0ee78f
[WIP] more fixes (#159)
* Added test for MatrixInverse with double input. Fixed matrixDeterminantKernel.

* Fixed kernels to avoid waste templating.

* Fixed logDeterminant kernel.

* Refactored type check for lup'

* - decrease blockDim value for zeta op

Signed-off-by: Yurii <yurii@skymind.io>

* Added print for compound matrix with CUDA.

* Refactored upper matrix invertion kernels.

* - provide move constructor and move assignment operator for OpArgsHoder class

Signed-off-by: Yurii <yurii@skymind.io>

* Refactored usage of launch context.

* - add test for mergemax

Signed-off-by: Yurii <yurii@skymind.io>

* get rid of AveragingArrayProxy

Signed-off-by: raver119 <raver119@gmail.com>

* Refactoring of LUP inversion.

* Added prints for invertion.

* - add OpArgsHolder copy constructor and assignment operator

Signed-off-by: Yurii <yurii@skymind.io>

* Added test for lower inversion

* - fix bug in upsampling2d/3d_bp op

Signed-off-by: Yurii <yurii@skymind.io>

* Added expensive printfs to kernel.

* Refactored expensive kernel prints.

* Refactored expensive printfs

* - remove nullify

Signed-off-by: Yurii <yurii@skymind.io>

* Eliminated waste prints with tests.

* upsampling2d_bp test

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* test updated

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 19:20:50 +03:00
raver119 99cdf6d42b - cpu isMax fix for multidim case + test
- INDArray.wasClosed() fix for empty array edge case

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 18:44:37 +03:00
Alexander Stoyakin 2e99bc2dee [WIP] Handling binary data in DL4J servlet (#135)
* Binary deser

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Binary mode for servlet

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Added test

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* -sRandom image generation copied from datavec

* -sRandom image generation copied from datavec

* Remove serialization constraints

* Fix:

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Removed unused code

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Resources usage

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Async inference

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Cleanup

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* -sTest corrected

* Cleanup

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Mutually eclusive serializers/deserializers

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Binary output supported

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Binary out test

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* - types hardcoded
- increased payload size limit

Signed-off-by: raver119 <raver119@gmail.com>

* change types constant

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 17:00:55 +03:00
Alex Black 70ee8ba91d
Optimization / fix for DL4J SameDiff layers (#156)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-23 20:54:24 +10:00
raver119 729dc5e879
[WIP] size etc (#155)
* one test for size

Signed-off-by: raver119 <raver119@gmail.com>

* - few tests for size op
- size/rank/size_at ops now use p instead of assign

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 12:31:12 +03:00
Samuel Audet c4e7d032cb ND4J: Fix incorrectly bundled libraries on Linux ARM
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2019-08-23 16:54:54 +09:00
raver119 dbea687903
better handling of INDArray.close() (#154)
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 10:24:56 +03:00
raver119 243bf866c4
[WIP] Few fixes (#153)
* throw exception if op execution failed

Signed-off-by: raver119 <raver119@gmail.com>

* expected for test

Signed-off-by: raver119 <raver119@gmail.com>

* one more ismax test

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* ismax view fix

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 09:00:10 +03:00
Alex Black 80d35377d4
SameDiff cleanup and fixes (#150)
* Cleanup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* SDVariable no longer extends DifferentialFunction

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8123 Remove cloning library to avoid 'illegal reflective access' warnings

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8095 Make Pooling3D abstract, fix flatbuffers serialization issue

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8117 WordVectorSerializer deprecated method javadoc

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Final fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* One more

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-23 15:09:53 +10:00
raver119 930b49e87f
[WIP] DeviceLocalNDArray updates (#149)
* ContextBuffers are released upon device change

Signed-off-by: raver119 <raver119@gmail.com>

* DeviceLocalNDArray updates + tests

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* special array for delayed mode

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* additional detach()

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2019-08-22 20:01:29 +03:00
Robert Altena c523aa792f
removr trueVector. (#146)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-22 19:27:43 +09:00
Alex Black 9c2bfc9863
Various fixes (DL4J, ND4J) (#147)
* Import fixes, IsMax dtype calc, small test fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* SubsamplingLayer fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J - SpaceToBatch layer updates

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-22 16:16:03 +10:00
Robert Altena ca7e5593ec
ND4J: Remove Nd4j.trueScalar/trueVector (#145)
* merge conflict.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* remove/replace trueVector

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-22 10:49:30 +09:00
Ryan Nett 2b0d7b3b52
[WIP] Various fixes, mostly SameDiff/Nd4j (#110)
* Nd4j pad update

Signed-off-by: Ryan Nett <rnett@skymind.io>

* switched from guava Immutables to Collections.unmodifiableList/Map

Signed-off-by: Ryan Nett <rnett@skymind.io>

* javadoc

Signed-off-by: Ryan Nett <rnett@skymind.io>

* use new pad

Signed-off-by: Ryan Nett <rnett@skymind.io>

* conv tests use OpValidation

Signed-off-by: Ryan Nett <rnett@skymind.io>

* deconv3d overrides

Signed-off-by: Ryan Nett <rnett@skymind.io>

* test fix for the new pad method

Signed-off-by: Ryan Nett <rnett@skymind.io>

* more test fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* more test fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* rename SameDiff function methods to op (except for the actual SameDiff function ones)

Signed-off-by: Ryan Nett <rnett@skymind.io>

* more pad overloads, test fix

Signed-off-by: Ryan Nett <rnett@skymind.io>

* test updates

Signed-off-by: Ryan Nett <rnett@skymind.io>

* conv1d test

Signed-off-by: Ryan Nett <rnett@skymind.io>

* remove Conv1D tf import (there isn't a TF conv1d op)

Signed-off-by: Ryan Nett <rnett@skymind.io>

* remove numThreads from Nd4j

Signed-off-by: Ryan Nett <rnett@skymind.io>

* replace Old ops with their newer versions, deprecate ones that haven't already been deprecated

Signed-off-by: Ryan Nett <rnett@skymind.io>

* remove use of setNumThreads

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix for Reverse and ATan2

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix test for wrong equals type

Signed-off-by: Ryan Nett <rnett@skymind.io>

* well it works now

Signed-off-by: Ryan Nett <rnett@skymind.io>

* better javadocs

Signed-off-by: Ryan Nett <rnett@skymind.io>

* NonNulls

Signed-off-by: Ryan Nett <rnett@skymind.io>

* better array literal

Signed-off-by: Ryan Nett <rnett@skymind.io>

* re-add tf import stuff (will remove later)

Signed-off-by: Ryan Nett <rnett@skymind.io>

* conv1d config load fix

Signed-off-by: Ryan Nett <rnett@skymind.io>

* partial config usage changes

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* remove Old op classes

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* config property fixes

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* removed one too many ops

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-08-21 16:40:32 -07:00
raver119 d9ab299759
[WIP] Minor fixes (#140)
* - Tile java shape fn removed
- Tile 0 validation added
- scatter_upd test

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* additional tile validation

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* - provide vector case in cuda scatter op

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* cpu ismax view fix

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* exp

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* cuda ismax fix

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2019-08-21 15:05:47 +03:00
Alex Black a5867bb527
Upgrade Jersey to 2.29 (#139)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-21 18:34:49 +10:00
raver119 77805cb7fa
[WIP] cpu ismax fix (#137)
* cpu ismax fix

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* bunch of smaller scalar tests

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2019-08-21 10:12:11 +03:00
raver119 4211f3b4ce one more scalar constructor fix
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2019-08-21 08:53:36 +03:00
raver119 3f4379927a scalar constructor fix
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2019-08-21 08:50:59 +03:00
raver119 4310e87860 include path fix for java
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2019-08-21 07:32:21 +03:00
raver119 269d508ba5
[WIP] cross-device migrations (#134)
* two more tests fixed

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* CUDA device afinity tweaks

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* minor tweaks

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* prepareAction/registerAction for CustomOps

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* lazy allocate host bufer before relocation

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* one special test for migration in cpp

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* tests update for msvc

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* logging

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* stick to old col2im impl

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* cudaStreams reorganization

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* buffer size fix

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* c++ data migration

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* fix CropAndResize test

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* - minor improvment

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2019-08-20 18:52:41 +03:00
raver119 23c8738d4a
syncthreads (#136)
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2019-08-20 18:28:43 +03:00
Robert Altena 38310777ee
fix for eclipse#8087 (#129)
*  fix for #8087

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* remove commented code.

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* removing trueScalar.

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* wip

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* wip

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* wip

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* remove tueScalar.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-20 15:20:40 +09:00
Alexander Stoyakin 10d676e0b8 [WIP] nd4s - Scala operators for SameDiff (#113)
* Jar packaging for maven

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Typo fixed

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* minimal viable prototype for SD

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* Tests corrected

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* few fixes for bfloat16 in java and cpp (#114)

Signed-off-by: raver119 <raver119@gmail.com>

* Nd4j refactoring (#112)

* refactoring

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

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* wip

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* wip

* fix: make test public.

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* make test public.

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* fixes read refactoring.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* Enabled test

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* Test copied from nd4j

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* [WIP] bitwise ops (#115)

* - cyclic_shift_bits + test
- shift_bits + test

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* OMP_IF replacement

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* Thin wrapper added

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* Cleanup

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* Shugeo cuda tests (#116)

* Added tests for get_seed/set_seed ops.

* Added missed tests for scatter_sub/mul/div ops.

* Added tests for hardsigmoid and hardsigmoid_bp.

* Added tests for hardtanh and hardtanh_bp ops.

* Added test for histogram op.

* Added tests for identity op.

* Refactored mergemaxindex op. Added tests for log1p,mergemaxindex, mod and mod_bp ops.

* Fixed tests for FloorDiv.

* Added test for rank op.

* Added tests for rationaltanh/rationaltanh_bp ops.

* Added tests for realdiv/realdiv_bp.

* Added tests for rectifiedtanh/_bp ops.

* Added tests for shapes_of op.

* Added tests for shapes_of op.

* Added tests for size op.

* Added tests for softplus/_bp ops.

* Added tests for softsign/_bp ops.

* Added tests for toggle_bits op. Fixed processing of OP_IMPL and so on defititions.

* Added test for truncatediv op.

* Added another test for truncatediv op.

* Added another test for histogram.

* Added tests for unstack_list op.

* Refactored to_int32/uint32/float16/float32/double/int64/uint64 ops and tests.

* Refactored mergemaxindex op helper for cuda platform and tests.

* Fixed cuda kernel for histogram op helper.

* Refactor skipgram to avoid early buffers shift.

* Fixed check up with non_max_suppression op cuda helper. Added cuda kernel implementation for skipgram op helpers.

* Added implementation of skipgram op helper for cuda platform. Working revision

* Fixed mergeMaxIndex kernel and move it to separate source file.

* Adding arithmetic

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* Eliminated memory leaks and dropped waste prints with tests. (#117)

* Added tests

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* fix test

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* no openmp for ClipByGlobalNorm

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* Stubs for ops

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* [WIP] right shift ops (#118)

* right shift ops

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* typo

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* rotr test

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* fix: IOException no longer thrown by read(). (#120)

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* Small fix in TensorflowConversion class (#121)

Signed-off-by: Alex Black <blacka101@gmail.com>

* Shyrma concat2 (#119)

* - rewrite/improve concat

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* - ged rid of unnecessary argument in concat kernel

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* InferenceSession additional validation for shape calc (#122)

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* [WIP] build fix (#124)

* AffinityManager changes

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* build fixes

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* OP/CONFIGURABLE_OP shapefn fix (#125)

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* Some ops added

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* Nd4j refactoring (last one!) (#123)

* fix: IOException no longer thrown by read().

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* refactoring

* last refactorings

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* Advanced tests

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* [WIP] Java wrappers (#126)

* shift/rshift/rotl/rotr java/sd wrappers

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* few additional wrappers

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* minor naming tweak

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* Test added

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* one more build fix

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* Jar packaging for maven

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* Typo fixed

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* minimal viable prototype for SD

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* Tests corrected

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* Enabled test

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* Test copied from nd4j

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* Thin wrapper added

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Cleanup

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* Adding arithmetic

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* Added tests

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Stubs for ops

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* Some ops added

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* Advanced tests

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* Test added

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Ops added

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Small build fixes (#127)

* Small build fixes

Signed-off-by: Alex Black <blacka101@gmail.com>

* Fix RL4J

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* Test fixes

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* Another fix

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* parent module name fix

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* [WIP] Roll rewritten (#128)

* Process correct input vector.

* Added tests for roll.

* Refactored roll to conform with TF. Eliminated memory leaks with Roll op tests.

* no thread_local for cpu

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* Jar packaging for maven

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Typo fixed

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* minimal viable prototype for SD

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Tests corrected

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Enabled test

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* Test copied from nd4j

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Thin wrapper added

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Cleanup

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Adding arithmetic

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Added tests

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Stubs for ops

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Some ops added

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Advanced tests

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Test added

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Ops added

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Tests added

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Boolen logic ops

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* Test added

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* Shift operations

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2019-08-19 16:25:13 +03:00
raver119 b8ab1a00b0 - 2 mod tests
- ModOp mapping added

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2019-08-19 12:57:24 +03:00
raver119 aceb915557
[WIP] tests fixes (#130)
* no openmp for ClipByGlobalNorm

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* one more bfloat16 rng test

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* assertion fix

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* - legacy IsMax gone
- linear IsMax gets shapeInfo argument

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* get rid of legacy IsMax tests

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* IsMax is custom op now

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* more blocks for ismax

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* one more test

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*  - sqrt test
 - some legacy code removed from CudaExecutioner
 - Transforms.asin tweaks

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* - TransformFloat fix

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* - ismax fix
- SpaceToBatchND/BatchToSpaceND wrappers
- couple of legacy tests removed

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2019-08-19 11:33:15 +03:00
raver119 e9b72e78ae one more build fix
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2019-08-16 15:02:47 +03:00
raver119 3ba616a161
[WIP] Java wrappers (#126)
* shift/rshift/rotl/rotr java/sd wrappers

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* few additional wrappers

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* minor naming tweak

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2019-08-16 13:14:26 +03:00
Robert Altena 7fbc4b0933 Nd4j refactoring (last one!) (#123)
* fix: IOException no longer thrown by read().

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* refactoring

* last refactorings

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-16 16:39:11 +10:00
raver119 2f3d7330ce
[WIP] build fix (#124)
* AffinityManager changes

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* build fixes

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2019-08-16 08:14:18 +03:00
Alex Black 65ff18383a
InferenceSession additional validation for shape calc (#122)
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-08-16 14:19:06 +10:00
Alex Black b370544b8f
Small fix in TensorflowConversion class (#121)
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-08-16 11:32:02 +10:00
Robert Altena 0a3e78b540 fix: IOException no longer thrown by read(). (#120)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-16 11:19:55 +10:00
raver119 987bb80c46
[WIP] right shift ops (#118)
* right shift ops

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* typo

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* rotr test

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2019-08-15 20:35:15 +03:00
raver119 935cbf5df3 fix test
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2019-08-15 18:19:24 +03:00
Robert Altena 59cba587f4
Nd4j refactoring (#112)
* refactoring

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

* fix: make test public.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* make test public.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* fixes read refactoring.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-15 13:50:52 +09:00
raver119 c7277729e9
few fixes for bfloat16 in java and cpp (#114)
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-14 21:51:42 +03:00
raver119 53ca9a76e8
[WIP] multi-device support (#80)
* fix pad javadoc and @see links. (#72)

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* [WIP] More fixes (#73)

* special tests for ConstantTadHelper/ConstantShapeHelper

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* release methods for data buffers

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* delete temporary buffer Java side

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* delete temporary buffer Java side

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* delete temporary TadPack C++/Java side (#74)

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* Zoo model TF import test updates (#75)

* argLine fix, update compression_gru comment

* updated comment for xception

* undid but commented argLine change

* updated xlnet comment

* copyright headers

* - new NDArray methods like()/ulike() (#77)

- fix for depthwise_conv2d_bp + special test

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* upsampling2d fix CUDA

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* DL4J trace logging (#79)

* MLN/CG trace logging for debugging

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* Tiny tweak

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* strided_slice_bp shape fn leak fix

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* SameDiff fixes and naming (#78)

* remove SDVariable inplace methods

* import methods

* npe fix in OpVal

* removed SameDiff inplace ops from tests

* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything

* quick fixes

* javadoc

* SDVariable eval with placeholders

* use regex match

* better matching

* initial commit

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* initial commit

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* fix javadoc. (#76)

* fix javadoc.

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* replace most @see with @link s.

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* 4 additional tests

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* launch context reorganization

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* LaunchContext reorganization

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* per-device LaunchContext

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* Various DL4J/ND4J fixes (#81)

* #7954 Force refresh of UI when switching tabs on overview page

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* #8017 Concurrent modification exception (synchronize) fix

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* #8033 Don't initialize updater in middle of writing memory crash dump

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* #8208 Fix shape checks for ND4J int[] creator methods

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* #6385 #7992 Keras import naming fixes + cleanup

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* #8016 Upsampling3D - add NDHWC format support

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* ContextBuffers as separate entity

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* Refactor NativeOps.h to export C functions

* Actually export functions from NativeOps.h

* Adapt the Java wrappers in ND4J generated with JavaCPP

* Create C wrappers for some of the C++ classes currently used by ND4J

* ContextBuffers as separate entity

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* remove duplicate code in createBufferDetached. (#83)

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* Keras model import - updater lr fix (#84)

* Keras model import - updater lr fix

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* Keras model import - updater lr fix, cleanup

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* ContextBuffers as separate entity

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* ContextBuffers as separate entity

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* Fix functions of OpaqueVariablesSet

* thread-local buffers/affinity

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* thread safety for LaunchContext

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* more of thread safety

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* one more multi threaded test

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* SameDiff Convolution Config validation, better output methods (#82)

* Conv Config validation & tests

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* stackOutputs utility method

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* use constructor for validation, support negative kernel sizes (infered from weights)

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* better output methods

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* move output to be with fit and evaluate

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* fixes

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* more fixes

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* refactor duplicate code from pad methods. (#86)

* refactor duplicate code from pad methods.

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* replace switch with if.

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* Various ND4J/DL4J fixes and improvements (#87)

* Reshape and reallocate - small fixes

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* Reshape and reallocate - small fixes

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* #6488 ElementWiseVertex broadcast support

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* Constructors and broadcast supported it Transforms.max/min

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* #8054 ElementWiseVertex now supports broadcast inputs

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* #8057 Nd4j.create overload dtype fix

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* #7551 ND4J Shape validation fix

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* [WIP] Numpy boolean import (#91)

* numpy bool type

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* numpy bool java side

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* remove create method with unused parameter. (#89)

* remove create method with unused parameter.

* removed more unused methods.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* removing more unused code.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* last removal of unused code.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* remove createSparse methods. (#92)

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* Various ND4J/DL4J fixes (#90)

* Deprecate Old*Op instances

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8063 #8054 Broadcast exceptions + cleanup inplace ops

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Remove bad test condition

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* #7993 Fix shape function issue in crop_and_resize op

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* DL4J SameDiff lambda layer fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8029 Fix for pnorm backprop math

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8038 Fix Op profiler NaN/Inf triggering + add tests (#93)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* createUninitializedDetached refactoring. (#94)

* wip

* update interface, add null implementations.

* Breaking one test in a weird way.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* createUninitializedDetached refactored.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* cuda build fix for issues introduced by recent refactoring

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* [WIP] More of CUDA (#95)

* initial commit

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* Implementation of hashcode cuda helper. Working edition.

* Fixed parallel test input arangements.

* Fixed tests for hashcode op.

* Fixed shape calculation for image:crop_and_resize op and test.

* NativeOps tests. Initial test suite.

* Added tests for indexReduce methods.

* Added test on execBroadcast with NDArray as dimensions.

* Added test on execBroadcastBool with NDArray as dimensions.

* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.

* Added tests for execReduce with scalar results.

* Added reduce tests for non-empty dims array.

* Added tests for reduce3.

* Added tests for execScalar.

* Added tests for execSummaryStats.

* - provide cpu/cuda code for batch_to_space
- testing it

Signed-off-by: Yurii <yurii@skymind.io>

* - remove old test for batch_to_space (had wrong format and numbers were not checked)

Signed-off-by: Yurii <yurii@skymind.io>

* Fixed complilation errors with test.

* Added test for execTransformFloat.

* Added test for execTransformSame.

* Added test for execTransformBool.

* Added test for execTransformStrict.

* Added tests for execScalar/execScalarBool with TADs.

* Added test for flatten.

* - provide cpu/cuda code for space_to_Batch operaion

Signed-off-by: Yurii <yurii@skymind.io>

* Added test for concat.

* comment unnecessary stuff in s_t_b

Signed-off-by: Yurii <yurii@skymind.io>

* Added test for specialConcat.

* Added tests for memcpy/set routines.

* Fixed pullRow cuda test.

* Added pullRow test.

* Added average test.

* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)

Signed-off-by: Yurii <yurii@skymind.io>

* - debugging and fixing cuda tests in JavaInteropTests file

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* - correct some tests

Signed-off-by: Yurii <yurii@skymind.io>

* Added test for shuffle.

* Fixed ops declarations.

* Restored omp and added shuffle test.

* Added convertTypes test.

* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.

* Added sort tests.

* Added tests for execCustomOp.

* - further debuging and fixing tests terminated with crash

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* Added tests for calculateOutputShapes.

* Addded Benchmarks test.

* Commented benchmark tests.

* change assertion

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* Added tests for apply_sgd op. Added cpu helper for that op.

* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.

* Added test for assign broadcastable.

* Added tests for assign_bp op.

* Added tests for axpy op.

* - assign/execScalar/execTransformAny signature change
- minor test fix

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* Fixed axpy op.

* meh

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* - fix tests for nativeOps::concat

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* sequential transform/scalar

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* allow nested parallelism

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* assign_bp leak fix

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* block setRNG fix

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* enable parallelism by default

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* enable nested parallelism by default

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* Added cuda implementation for row_count helper.

* Added implementation for tnse gains op helper.

* - take into account possible situations when input arrays are empty in reduce_ cuda stuff

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* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.

* Added kernel for tsne/symmetrized op heleper.

* Implementation of tsne/symmetrized op cuda helper. Working edition.

* Eliminated waste printfs.

* Added test for broadcastgradientargs op.

* host-only fallback for empty reduce float

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* - some tests fixes

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* - correct the rest of reduce_ stuff

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* - further correction of reduce_ stuff

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* Added test for Cbow op. Also added cuda implementation for cbow helpers.

* - improve code of stack operation for scalar case

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* - provide cuda kernel for gatherND operation

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* Implementation of cbow helpers with cuda kernels.

* minor tests tweaks

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* minor tests tweaks

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* - further correction of cuda stuff

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* Implementatation of cbow op helper with cuda kernels. Working edition.

* Skip random testing for cudablas case.

* lstmBlockCell context fix

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* Added tests for ELU and ELU_BP ops.

* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.

* Added tests for neq_scalar.

* Added test for noop.

* - further work on clipbynorm_bp

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* - get rid of concat op call, use instead direct concat helper call

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* lstmBlockCell context fix

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* Added tests for lrelu and lrelu_bp.

* Added tests for selu and selu_bp.

* Fixed lrelu derivative helpers.

* - some corrections in lstm

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* operator * result shape fix

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* - correct typo in lstmCell

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* few tests fixed

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* CUDA inverse broadcast bool fix

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* disable MMAP test for CUDA

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* BooleanOp syncToDevice

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* meh

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* additional data types for im2col/col2im

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* Added test for firas_sparse op.

* one more RandomBuffer test excluded

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* Added tests for flatten op.

* Added test for Floor op.

* bunch of tests fixed

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* mmulDot tests fixed

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* more tests fixed

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* Implemented floordiv_bp op and tests.

* Fixed scalar case with cuda implementation for bds.

* - work on cuda kernel for clip_by_norm backprop op is completed

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* Eliminate cbow crach.

* more tests fixed

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* more tests fixed

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* Eliminated abortion with batched nlp test.

* more tests fixed

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* Fixed shared flag initializing.

* disabled bunch of cpu workspaces tests

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* scalar operators fix: missing registerSpecialUse call

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* Fixed logdet for cuda and tests.

* - correct clipBynorm_bp

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* Fixed crop_and_resize shape datatype.

* - correct some mmul tests

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* build fix

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* exclude two methods for JNI

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* exclude two methods for JNI

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* exclude two methods for JNI (#97)

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* temporary stack fix

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* round robin affinity test

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* get rid of legacy CudaContext methods

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* get rid of legacy ContextPool classes/methods

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* one legacy test removed

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* few more fields rearranged

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* OpaqueLaunchContext

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* OpaqueLaunchContext++

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* more of OpaqueLaunchContext methods

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* LaunchContext -> CudaContext

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* AffinityManger changes

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* AffinityManger changes

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* cusolver handles

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* typo

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* cusolver method

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* cusolver handle propagated

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* blas/solver handles

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* one more test

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* legacy concat implementations replaced with new CustomOp

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* one more test

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* concat now uses way more blocks

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* print

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* no more triple template mmul

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* bunch of kernels have dtypes reconsidered

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* bunch of kernels have dtypes reconsidered

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* bitonic sort reorganized

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* bunch of cpu stuff removed from cuda scope

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* bunch of cpu stuff removed from cuda scope

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* type conversions moved to generic impl

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* cpu data types pass

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* non_max_suppression

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* sortByValue fix

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* ignore all mixed datatype tests for mmul

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* special handling of OpProfiler exceptions

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* - one failing concat test in cpp
- Nd4j.tile now uses op internally

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* get back dtype exception for legacy arrays deserialization

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2019-08-14 16:52:34 +03:00
raver119 ec847e034b
[WIP] Remote inference (#96)
* fix pad javadoc and @see links. (#72)

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* [WIP] More fixes (#73)

* special tests for ConstantTadHelper/ConstantShapeHelper

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* release methods for data buffers

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* delete temporary buffer Java side

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* delete temporary buffer Java side

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* delete temporary TadPack C++/Java side (#74)

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* Zoo model TF import test updates (#75)

* argLine fix, update compression_gru comment

* updated comment for xception

* undid but commented argLine change

* updated xlnet comment

* copyright headers

* - new NDArray methods like()/ulike() (#77)

- fix for depthwise_conv2d_bp + special test

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* upsampling2d fix CUDA

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* DL4J trace logging (#79)

* MLN/CG trace logging for debugging

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* Tiny tweak

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* strided_slice_bp shape fn leak fix

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* SameDiff fixes and naming (#78)

* remove SDVariable inplace methods

* import methods

* npe fix in OpVal

* removed SameDiff inplace ops from tests

* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything

* quick fixes

* javadoc

* SDVariable eval with placeholders

* use regex match

* better matching

* fix javadoc. (#76)

* fix javadoc.

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* replace most @see with @link s.

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* 4 additional tests

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* Various DL4J/ND4J fixes (#81)

* #7954 Force refresh of UI when switching tabs on overview page

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* #8017 Concurrent modification exception (synchronize) fix

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* #8033 Don't initialize updater in middle of writing memory crash dump

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* #8208 Fix shape checks for ND4J int[] creator methods

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* #6385 #7992 Keras import naming fixes + cleanup

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* #8016 Upsampling3D - add NDHWC format support

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* Refactor NativeOps.h to export C functions

* Actually export functions from NativeOps.h

* Adapt the Java wrappers in ND4J generated with JavaCPP

* Create C wrappers for some of the C++ classes currently used by ND4J

* remove duplicate code in createBufferDetached. (#83)

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* Keras model import - updater lr fix (#84)

* Keras model import - updater lr fix

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* Keras model import - updater lr fix, cleanup

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* Fix functions of OpaqueVariablesSet

* SameDiff Convolution Config validation, better output methods (#82)

* Conv Config validation & tests

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* stackOutputs utility method

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* use constructor for validation, support negative kernel sizes (infered from weights)

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* better output methods

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* move output to be with fit and evaluate

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* fixes

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* more fixes

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* refactor duplicate code from pad methods. (#86)

* refactor duplicate code from pad methods.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* replace switch with if.

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* Various ND4J/DL4J fixes and improvements (#87)

* Reshape and reallocate - small fixes

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* Reshape and reallocate - small fixes

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* #6488 ElementWiseVertex broadcast support

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* Constructors and broadcast supported it Transforms.max/min

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* #8054 ElementWiseVertex now supports broadcast inputs

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* #8057 Nd4j.create overload dtype fix

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* #7551 ND4J Shape validation fix

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* [WIP] Numpy boolean import (#91)

* numpy bool type

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* numpy bool java side

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* remove create method with unused parameter. (#89)

* remove create method with unused parameter.

* removed more unused methods.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* removing more unused code.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* last removal of unused code.

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* remove createSparse methods. (#92)

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* Various ND4J/DL4J fixes (#90)

* Deprecate Old*Op instances

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8063 #8054 Broadcast exceptions + cleanup inplace ops

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* Small fix

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* Remove bad test condition

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* #7993 Fix shape function issue in crop_and_resize op

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* DL4J SameDiff lambda layer fix

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* #8029 Fix for pnorm backprop math

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* #8038 Fix Op profiler NaN/Inf triggering + add tests (#93)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* createUninitializedDetached refactoring. (#94)

* wip

* update interface, add null implementations.

* Breaking one test in a weird way.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* createUninitializedDetached refactored.

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* cuda build fix for issues introduced by recent refactoring

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* initial commit

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* deps tweaks

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* initial prototype

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* modules reorganized

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* gprc module moved to nd4j-remote as well

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* gprc module moved to nd4j-remote as well

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* serving prototype

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* serving prototype

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* serving prototype

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* serving prototype

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* [WIP] More of CUDA (#95)

* initial commit

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* Implementation of hashcode cuda helper. Working edition.

* Fixed parallel test input arangements.

* Fixed tests for hashcode op.

* Fixed shape calculation for image:crop_and_resize op and test.

* NativeOps tests. Initial test suite.

* Added tests for indexReduce methods.

* Added test on execBroadcast with NDArray as dimensions.

* Added test on execBroadcastBool with NDArray as dimensions.

* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.

* Added tests for execReduce with scalar results.

* Added reduce tests for non-empty dims array.

* Added tests for reduce3.

* Added tests for execScalar.

* Added tests for execSummaryStats.

* - provide cpu/cuda code for batch_to_space
- testing it

Signed-off-by: Yurii <yurii@skymind.io>

* - remove old test for batch_to_space (had wrong format and numbers were not checked)

Signed-off-by: Yurii <yurii@skymind.io>

* Fixed complilation errors with test.

* Added test for execTransformFloat.

* Added test for execTransformSame.

* Added test for execTransformBool.

* Added test for execTransformStrict.

* Added tests for execScalar/execScalarBool with TADs.

* Added test for flatten.

* - provide cpu/cuda code for space_to_Batch operaion

Signed-off-by: Yurii <yurii@skymind.io>

* Added test for concat.

* comment unnecessary stuff in s_t_b

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* Added test for specialConcat.

* Added tests for memcpy/set routines.

* Fixed pullRow cuda test.

* Added pullRow test.

* Added average test.

* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)

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* - debugging and fixing cuda tests in JavaInteropTests file

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* - correct some tests

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* Added test for shuffle.

* Fixed ops declarations.

* Restored omp and added shuffle test.

* Added convertTypes test.

* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.

* Added sort tests.

* Added tests for execCustomOp.

* - further debuging and fixing tests terminated with crash

Signed-off-by: Yurii <yurii@skymind.io>

* Added tests for calculateOutputShapes.

* Addded Benchmarks test.

* Commented benchmark tests.

* change assertion

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* Added tests for apply_sgd op. Added cpu helper for that op.

* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.

* Added test for assign broadcastable.

* Added tests for assign_bp op.

* Added tests for axpy op.

* - assign/execScalar/execTransformAny signature change
- minor test fix

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* Fixed axpy op.

* meh

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* - fix tests for nativeOps::concat

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* sequential transform/scalar

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* allow nested parallelism

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* assign_bp leak fix

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* block setRNG fix

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* enable parallelism by default

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* enable nested parallelism by default

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* Added cuda implementation for row_count helper.

* Added implementation for tnse gains op helper.

* - take into account possible situations when input arrays are empty in reduce_ cuda stuff

Signed-off-by: Yurii <yurii@skymind.io>

* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.

* Added kernel for tsne/symmetrized op heleper.

* Implementation of tsne/symmetrized op cuda helper. Working edition.

* Eliminated waste printfs.

* Added test for broadcastgradientargs op.

* host-only fallback for empty reduce float

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* - some tests fixes

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* - correct the rest of reduce_ stuff

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* - further correction of reduce_ stuff

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* Added test for Cbow op. Also added cuda implementation for cbow helpers.

* - improve code of stack operation for scalar case

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* - provide cuda kernel for gatherND operation

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* Implementation of cbow helpers with cuda kernels.

* minor tests tweaks

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* minor tests tweaks

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* - further correction of cuda stuff

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* Implementatation of cbow op helper with cuda kernels. Working edition.

* Skip random testing for cudablas case.

* lstmBlockCell context fix

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* Added tests for ELU and ELU_BP ops.

* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.

* Added tests for neq_scalar.

* Added test for noop.

* - further work on clipbynorm_bp

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* - get rid of concat op call, use instead direct concat helper call

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* lstmBlockCell context fix

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* Added tests for lrelu and lrelu_bp.

* Added tests for selu and selu_bp.

* Fixed lrelu derivative helpers.

* - some corrections in lstm

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* operator * result shape fix

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* - correct typo in lstmCell

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* few tests fixed

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* CUDA inverse broadcast bool fix

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* disable MMAP test for CUDA

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* BooleanOp syncToDevice

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* meh

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* additional data types for im2col/col2im

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* Added test for firas_sparse op.

* one more RandomBuffer test excluded

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* Added tests for flatten op.

* Added test for Floor op.

* bunch of tests fixed

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* mmulDot tests fixed

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* more tests fixed

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* Implemented floordiv_bp op and tests.

* Fixed scalar case with cuda implementation for bds.

* - work on cuda kernel for clip_by_norm backprop op is completed

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* Eliminate cbow crach.

* more tests fixed

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* more tests fixed

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* Eliminated abortion with batched nlp test.

* more tests fixed

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* Fixed shared flag initializing.

* disabled bunch of cpu workspaces tests

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* scalar operators fix: missing registerSpecialUse call

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* Fixed logdet for cuda and tests.

* - correct clipBynorm_bp

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* Fixed crop_and_resize shape datatype.

* - correct some mmul tests

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* build fix

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* exclude two methods for JNI

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* exclude two methods for JNI

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* exclude two methods for JNI (#97)

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* temporary stack fix

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* downgrade jetty to latest stable version

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* test and profiles

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* Servlet skeleton

* one test case

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* one test case

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* compilation fix

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* draft improvements

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* draft improvements

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* proof of concept works

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* proof of concept works

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* Servlet

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* logging + simple timing

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* Content type fixed

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* Profile required

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* Servlet tests

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* Post test

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* Tests added:

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* Minor tweaks

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* Constants used

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* Check content type

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* Some tests

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* Errors checking

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* Constraints and tests

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* Minor tweaks

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* Dl4j servlet skeleton

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* Moving class to dl4j

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* Builder extended

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* initial dl4j commit

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* unirest version change

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* temp fallback

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* Reverted unirest version

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* Reverted unirest version

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* revert back unirest version change

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* revert unirest change

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* some additional checks in builder

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* few more fields

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* Test added

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* lombok

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* Tests added

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* deps

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* profiles re-introduced

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* Added tests

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* Model servlet

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* builders

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* builders

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* Servlet skeleton

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* Servlet tests

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* builders

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* get rid of old class

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* use PI for inference

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* superbuilder

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* get back builder

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* Servlet builder

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* PI setup

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* get rid of superbuilder

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* SameDiffServlet inheritance constructor

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* dl4jservlet attached to samediffservlet

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* builder types fix

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* dummy model

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* single out

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* loss

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* Tests added

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* missed builder type

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* working serving example

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* sd model fix

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* fix unirest version

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* More tests

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* Tests added:

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* Minor tests fixes

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* Tests fixed

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* Build fixed

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* Test added

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* Tests fixed

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* Ser/deser added

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* one more unirest fix

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* Custom serializers

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* Tests disabled

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* revert back unirest version change

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* update

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* some default fields values

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* some comments/javadoc

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* - move serde impls to client module
- get rid of INDArray serde for now

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* jackson-based serde for float[], double[] and String

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* more of basic ser/de + tests

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* minor api changes

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* change imports/signatures

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* Optional parralel inference

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* Insert pause between tests as workaround for unavailable port issue

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* few unused imports removed

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* Models usage

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* Models usage

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* - InputAdapter + OutputAdapter = InferenceAdapter
- JsonModelServer now allows separate configuration of InputAdapter and OutputAdapter

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* unused import

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* input adapter..

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* minor signature change

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* few more signatures updated

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* input/output adapter

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* Tests added

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* javadocs added

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* Test fixed

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* minor polishing

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* more of javadoc

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* signature change

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2019-08-14 12:11:09 +03:00
Robert Altena b10ab239c0 Nd4j refactoring (#111)
* refactoring

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

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* wip

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-13 21:44:40 +10:00
Robert Altena c29c011d1a Nd4j refactoring (#109)
* refactoring.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* review feedback

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-13 11:30:45 +10:00
Ryan Nett 11bddb3825 SameDiff: Listener changes and training api update (#99)
* example api

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* Lambda based evaluation

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* lambda test

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* fixes

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* partial fixes, use get-variable listener framework, example EvaluationListener

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* javadoc fix and newInstance implementations

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* fit and evaluate methods with validation data (for fit) and listeners

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* output method overloads + listener args

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* history and evaluation helpers

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* fixes

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* more fixes

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* FitConfig and added getters and setters

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* javadocs

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* fixes, javadoc, added activations to history, added latest activation listener

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* fixes, start of tests

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* fixes and updates

Signed-off-by: Ryan Nett <rnett@skymind.io>

* newInstance fixes, tests

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* test fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* javadocs, getters with SDVariable overrides, CustomEvaluation fix

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* more operation config classes (evaluation, output, exec/single batch output), fix custom eval tests

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* merge fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix

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* fixes, most old fit/evaluate/output methods use the builders

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fixes

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* numerous fixes/cleanup

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fixes

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* javadoc

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* Polish round 1

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* Round 2

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* Formatting + round 3

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* Round 4

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2019-08-10 15:30:31 +10:00
raver119 62a025439b java cuda compilation fix
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-07 21:36:27 +03:00
Robert Altena f8615e0ef0
nd4j refactoring. (#103)
Restored writeTxt per slack DM.
2019-08-07 19:31:48 +09:00
Alex Black edb71bf46f
Add SameDiff exec debugging listener + few fixes (#104)
* First pass on SameDiff op exec debug listener

Signed-off-by: Alex Black <blacka101@gmail.com>

* #7555 DL4J helpers - don't fall back on builtin for op profiler exceptions

Signed-off-by: Alex Black <blacka101@gmail.com>

* Exec debugging listener + fixes

Signed-off-by: Alex Black <blacka101@gmail.com>

* Fix import counts for TF ops in OpValidationSuite

Signed-off-by: Alex Black <blacka101@gmail.com>

* Fix bad DL4J test configuration

Signed-off-by: Alex Black <blacka101@gmail.com>

* Exec debugging listener polish

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* Small fix

Signed-off-by: Alex Black <blacka101@gmail.com>

* Another fix

Signed-off-by: Alex Black <blacka101@gmail.com>
2019-08-07 17:18:29 +10:00
Robert Altena ba1d1b160b
remove method with unused parameter. (#102)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-06 19:14:45 +09:00
Robert Altena a438434b1f
Nd4j refactoring (#101)
* cleanup

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-06 16:40:08 +09:00
Alex Black b8846113bd
Small number of fixes + cleanup + some missing op methods + constructors (#100)
* Remove unused op class - DefaultOpConverter

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* Add SDImage class; INDArray constructor additions

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* Floordiv

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* Small polish to image methods

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* Small DataVec test fix

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2019-08-05 22:31:46 +10:00
Alex Black 923ab15583 Small number of fixes (#98)
* Remove no longer functioning LegacyPooling2D class

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* Fix

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* #8066 First steps for reflection scanning - INDArray constructors

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* Small build fix for ND4S

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* More nd4s fixes

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2019-08-05 11:28:07 +10:00
raver119 aefdbc17d6 exclude two methods for JNI
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2019-08-05 11:27:05 +10:00
raver119 e2b7675e9c build fix
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2019-08-05 11:27:05 +10:00
raver119 e565788329 cuda build fix for issues introduced by recent refactoring
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2019-08-05 11:27:05 +10:00
Robert Altena dfec54242d createUninitializedDetached refactoring. (#94)
* wip

* update interface, add null implementations.

* Breaking one test in a weird way.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* createUninitializedDetached refactored.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:27:05 +10:00
Alex Black cd41c3540d #8038 Fix Op profiler NaN/Inf triggering + add tests (#93)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-05 11:25:48 +10:00
Alex Black e18e2dc014 Various ND4J/DL4J fixes (#90)
* Deprecate Old*Op instances

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* #8063 #8054 Broadcast exceptions + cleanup inplace ops

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* Small fix

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* Remove bad test condition

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* #7993 Fix shape function issue in crop_and_resize op

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* DL4J SameDiff lambda layer fix

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* #8029 Fix for pnorm backprop math

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2019-08-05 11:25:48 +10:00
Robert Altena fbe120031d remove createSparse methods. (#92)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:25:48 +10:00
Robert Altena 386a9f057b remove create method with unused parameter. (#89)
* remove create method with unused parameter.

* removed more unused methods.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* removing more unused code.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* last removal of unused code.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:25:48 +10:00
raver119 065b34c7cb [WIP] Numpy boolean import (#91)
* numpy bool type

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* numpy bool java side

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2019-08-05 11:25:48 +10:00
Alex Black b95417f7c5 Various ND4J/DL4J fixes and improvements (#87)
* Reshape and reallocate - small fixes

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* Reshape and reallocate - small fixes

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* #6488 ElementWiseVertex broadcast support

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* Constructors and broadcast supported it Transforms.max/min

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* #8054 ElementWiseVertex now supports broadcast inputs

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* #8057 Nd4j.create overload dtype fix

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* #7551 ND4J Shape validation fix

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2019-08-05 11:24:20 +10:00
Robert Altena aa4af2c36d refactor duplicate code from pad methods. (#86)
* refactor duplicate code from pad methods.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* replace switch with if.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:24:20 +10:00
Ryan Nett d4e7997134 SameDiff Convolution Config validation, better output methods (#82)
* Conv Config validation & tests

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* stackOutputs utility method

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* use constructor for validation, support negative kernel sizes (infered from weights)

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* better output methods

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* move output to be with fit and evaluate

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* fixes

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* more fixes

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2019-08-05 11:24:20 +10:00
Samuel Audet 8d1fe8b1b3 Fix functions of OpaqueVariablesSet 2019-08-05 11:24:20 +10:00
Robert Altena fa98b83295 remove duplicate code in createBufferDetached. (#83)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:22:59 +10:00
Samuel Audet 526b782e51 Create C wrappers for some of the C++ classes currently used by ND4J 2019-08-05 11:22:59 +10:00
Samuel Audet 8881bfe7aa Adapt the Java wrappers in ND4J generated with JavaCPP 2019-08-05 11:22:59 +10:00
Alex Black fad8da878f Various DL4J/ND4J fixes (#81)
* #7954 Force refresh of UI when switching tabs on overview page

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* #8017 Concurrent modification exception (synchronize) fix

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* #8033 Don't initialize updater in middle of writing memory crash dump

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* #8208 Fix shape checks for ND4J int[] creator methods

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* #6385 #7992 Keras import naming fixes + cleanup

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* #8016 Upsampling3D - add NDHWC format support

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2019-08-05 11:21:23 +10:00
Robert Altena 70dbe70594 fix javadoc. (#76)
* fix javadoc.

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* replace most @see with @link s.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:21:23 +10:00
Ryan Nett ac321265a7 SameDiff fixes and naming (#78)
* remove SDVariable inplace methods

* import methods

* npe fix in OpVal

* removed SameDiff inplace ops from tests

* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything

* quick fixes

* javadoc

* SDVariable eval with placeholders

* use regex match

* better matching
2019-08-05 11:21:23 +10:00
Ryan Nett 00e6296140 Zoo model TF import test updates (#75)
* argLine fix, update compression_gru comment

* updated comment for xception

* undid but commented argLine change

* updated xlnet comment

* copyright headers
2019-08-05 11:13:41 +10:00
raver119 b9708be5db delete temporary TadPack C++/Java side (#74)
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-05 11:11:22 +10:00
raver119 59a006ce29 [WIP] More fixes (#73)
* special tests for ConstantTadHelper/ConstantShapeHelper

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* release methods for data buffers

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* delete temporary buffer Java side

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* delete temporary buffer Java side

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2019-08-05 11:11:22 +10:00
Robert Altena ce9c372974 fix pad javadoc and @see links. (#72)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:11:22 +10:00
Alex Black 0d6bb657bc FlatBuffers dtype conversion fix (missing bfloat16) (#71)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-07-20 23:21:15 +10:00
Alex Black 06e4f5f96e Small DL4J/SameDiff fixes (#70)
* More mask fixes + remove debugging println

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* Small batch norm derivative fixe

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-07-20 23:19:09 +10:00
Alex Black 7939cf384b Misc fixes (#66)
* Small fixes

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* Flaky test fix

Signed-off-by: Alex Black <blacka101@gmail.com>
2019-07-20 23:17:03 +10:00
Alex Black d94bc7257c Various fixes (#65)
* #7977 deprecate legacy MultiLayerNetwork/ComputationGraph.params(boolean) method

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* Fix bad test

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* Small fixes

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* Fix Histogram mapping

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* Fix incorrect name handling in DifferentialFunction

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* More fixes

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* Histogram fixes

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* Proper histogram fix

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* ToString/NDArrayStrings fix

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* JSON UTF8 serialization fix

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2019-07-20 23:16:41 +10:00
raver119 c499dc962f - numpy import fix for CUDA (#64)
- skip tagLocation for empty arrays

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2019-07-20 23:16:19 +10:00
raver119 c9e867b2e8 File existence validation for Nd4j.createFromNpyFile()
Signed-off-by: raver119 <raver119@gmail.com>
2019-07-20 23:15:57 +10:00
raver119 fd6c0df024 [WIP] More CUDA fixes/updates (#62)
* CUDA reallocation update

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* Legacy SoftMax/LogSoftMax/SoftMaxDerivative removed from cpp

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* SoftMaxDerivative op removed

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* few tests updates

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* RNG fixes

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* few more tests updates

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* legacy Histogram/Pooling2D removed

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* legacy Histogram removed

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* histogram moved

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* histogram moved cuda

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* Histogram custom op

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2019-07-20 23:07:42 +10:00
raver119 9cf28ea6c9 [WIP] CUDA tweaks (#60)
* special cpu concat

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* special concat fix

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* OpProfiler tweak for absent host pointers

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* minor test tweak to see orders

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* CUDA broadcasting diff orders fix

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* faster iterations

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* OldSoftMax/OldLogSoftMax gone

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* RandomLauncher tweaks

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* additional check int randomtests

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* skip prepare/register action for empty arrays

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* npz float16 fix

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* empty reduction cuda fixes

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* ShapeBufferTests tweaks

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2019-07-20 23:06:48 +10:00
raver119 6ce458e949 [WIP] CUDA Java side (#58)
* one crashing test

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* stupid issue fixed

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* one fix

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* dont ensure location for empty arrays

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* few more signatures fixed

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* few tweaks for DataBuffer creation from java primitives

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* get rid of legacy im2col/col2im intercept

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* rsubi scalar array fix

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2019-07-20 23:06:25 +10:00
raver119 c969b724bb [WIP] more CUDA stuff (#57)
* initial commit

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* Added gradcheck test for dynamic_partition_bp op.

* - implementation of dilation op (cpu and cuda)

Signed-off-by: Yurii <yurii@skymind.io>

* Fixed broadcast_dynamic_shape 1D case and tests.

* Fixed usage of default integer arguments.

* Fixed dynamic_partition_bp op and tests.

* Eliminated test with grad check for dynamic_partition_bp op.

* start working on cuda svd - porting available corresponding api from cuSOLVER library

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* provide prelu_bp

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* - provide gruCell_bp (old version ??)

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* - polishing cumsum_bp and cumprod_bp tests

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* provide sparseSoftmaxCrossEntropyWithLogits and sparseSoftmaxCrossEntropyWithLogits_grad

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* Fixed atomicMul with float input/output

* implementation of cuda kernel for triu_bp operation

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* Refactored lup helper to add parrallel computing.

* cusolver libraries

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* uncomment cuSolver APIs in svd.cu

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* cusolver var

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* - further work on cuSolver svd

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* Implement usage of cuda solver to LUP decomposition.

* - correct naames in lup functions

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* correct svdQR cuda

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* - provide transpositions of input matrices in case of c order in svdCudaQR

Signed-off-by: Yurii <yurii@skymind.io>

* Fixed implementation issues with LUP usign cuda solver.

* Implementation of matrix_determinant helper with cuda kernels. Working revision.

* Implemented log_matrix_determinant helper with cuda kernels.

* - implementation of batched cuda svd

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* Refactored cholesky helper and implementation of cuda solver cholesky batch.

* - implementation of cuda kernel for tile bp

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* Implementation of cholesky and logdet with cuda kernels.

* - implementation of cuda kernel for sru_bidirectional

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* Fixed cholesky helper.

* Cholesky op helper implementation. Working double-based cublas implementation.

* bad import excluded

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* Finished with cuda implementation of cholesky helper and tests.

* - implementation of cuda kernel for sru_bidirectional_backprop operation

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* Implementation of matrix_inverse op helper with cuda kernels. The first revision.

* - start working on gruCell_bp

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* Implementation of matrix_inverse helper.

* - further work on new gruCell_bp

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* cuBLAS related fixes

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* calculateOutputShapes() now passes device buffers as well

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* special concat/average/accumulate init host pointers now

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* few more tweaks

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* additional CudaDataBufferFactory signatures certain for data types

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* cuSolver host buffer

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* buffer to buffer memcpy host ptr allocation

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2019-07-20 23:05:21 +10:00
Alex Black cb6654bebb Add libnd4j benchmarks (#3)
This PR adds 2 libnd4j benchmarking suits
2019-07-20 22:54:44 +10:00
Ryan Nett 62c6a73f9d Include TF Import tests as forward pass tests in OpValidation (#53)
* ignore multinomial

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix for @NonNull varargs

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-07-20 22:24:11 +10:00
Ryan Nett daf3950d8d SameDiff If, While, and Misc changes (#52)
* softmax and logSoftmax w/ dimension

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* start of while

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* if, start of javadocs

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* while foreward pass working, backprop WIP

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* no backprop

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* Tensorflow style if/while (& tests), name scope fixes (and test), argument interceptor (for if/while), use '_' in op names instead of ':'

Signed-off-by: Ryan Nett <rnett@skymind.io>

* javadoc

Signed-off-by: Ryan Nett <rnett@skymind.io>

* many fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* many fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* Some fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* cleanup if condition doesn't return boolean

Signed-off-by: Ryan Nett <rnett@skymind.io>

* serialization fix

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* use constants instead of magic numbers

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-07-20 22:23:40 +10:00
Ryan Nett 2d991f5445 LeakyReLU fix (#55)
* LeakyReLU: Use serScalar to set alpha correctly in TF import
LogX: remove incorrect TF mapping
Pow: remove TF import method (no mapping)
BaseOp: remove duplicate extraArgs

Signed-off-by: Ryan Nett <rnett@skymind.io>

* un-ignore cifar-10 gan, as it is now passing

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-07-20 22:23:19 +10:00
Ryan Nett 027d4d2a47 Add XLNet to zoo model ignores (#54)
* ignore xlnet

Signed-off-by: Ryan Nett <rnett@skymind.io>

* comment

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2019-07-20 22:22:57 +10:00
Ryan Nett d7c261ec40 added ability to run as test, and comments (#44)
Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-07-20 22:22:34 +10:00
raver119 5708fc087a [WIP] INDArray hashCode() impl (#50)
* initial commit

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* one more initial commit

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* parallel hashCode prototype

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* longBytes for hashCode

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* INDArray hashCode java side

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* few tests fixed for MSVC

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* Small gradcheck validation util fix - hash names not SDVariables

Signed-off-by: Alex Black <blacka101@gmail.com>

* Small fix + ignore for logged issue

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* - scrollable iterator fix
- sptree hashset replaced with collection

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* hashcode exception removed

* int hashCode for java
2019-07-20 22:22:11 +10:00
Alex Black cc65c01118 Op validation improvements + encoding fix (#49)
* Op validation updates

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small logging fix

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* #7986 Fix minor character encoding issues

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* Small ignore fix

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2019-07-20 22:21:46 +10:00
Alex Black 88ea9a49eb TF optional properties resolution fix (#48)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-07-20 22:21:20 +10:00
Ryan Nett 4b23dc01fd fix for #7976, update test comment (to OOM) (#45)
Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-07-20 22:20:58 +10:00
raver119 15e7984392 Small fixes (#46)
* - fix for eclipse/#7959

* createFromNpy scalar fix

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* remove spam

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* rng custom ops tests

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* Numpy headers validation + tests

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* fix for scalar string flat serde

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* Where empty shape test

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2019-07-20 22:20:14 +10:00
Ryan Nett c135883162 [WIP] Ignored TF OP Import test updates (#37)
* new issue for b_d_s (old is closed), new issue for boolean_mask (old is fixed)

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* date update

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* "embedding_lookup/.*multiple.*" is passing

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* new bincount issue (old was fixed)

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* date update

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* where op comment

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* where passing

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* ignore gan

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* scatter_nd/rank2shape_2indices passing

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* topk update, test fix (need to verify)

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* batch_to_space issue update

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* updates, no change

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* date updates

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* batch_to_space is fixed

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* equality function helper

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* topk passing

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* dropout equality check

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* adding ignores for zoo models

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* ignore libnd4j rnn tests

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* added batch to space test

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* issue comments

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2019-07-20 22:19:48 +10:00
raver119 dde50ee570 Small fixes (#43)
* minor cmake changes to make macos happy

* space_to_batch/batch_to_space validation fix

* - choose op tweaks
- tests updated to match appleid tweaks

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* - get rid of bad import

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* - choose now uses shape function
- choose test updated
2019-07-20 22:19:20 +10:00
Alex Black 8b4b8977a0 Batch Mmul v2 import fix (#41)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-07-20 22:18:52 +10:00
Ryan Nett d854e28b34 System info export for debugging and bug reporting (#34)
* System info export for debugging and bug reporting

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* class name fix

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* add version information, pointer memory info

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* add nvidia-smi and nvcc info

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* line cleanup

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* nvidia-smi run works

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* add oshi dependency

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* use OS info, add workspaces info

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* use ServiceLoader to load GPU information

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* register service

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* moved service out of NativeOpsHolder (private constructor)

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* added newline

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* added license

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* and one more

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* copyright update

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* fixes

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* removed unused imports

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* removed more unused imports

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* close streams

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* and another one

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* use method

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* one more copyright

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* remove double license

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* moved test to correct package

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* classpath update

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* classpath for java >8 fix

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2019-07-20 22:18:24 +10:00
Ryan Nett ef8cb55b7b Nd4j: Change array args to vararg and add toString options (#36)
* changed [] to ...

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* added randn(long seed, int... shape)

Signed-off-by: Ryan Nett <rnett@skymind.io>

* Fixed a couple of methods

Signed-off-by: Ryan Nett <rnett@skymind.io>

* ToString methods w/ options

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fixes, less toString methods, and a few ops I missed

Signed-off-by: Ryan Nett <rnett@skymind.io>

* some javadocs, change int... to long... where possible

Signed-off-by: Ryan Nett <rnett@skymind.io>

* another javadoc

Signed-off-by: Ryan Nett <rnett@skymind.io>

* javadoc fix

Signed-off-by: Ryan Nett <rnett@skymind.io>

* just javadoc in INDArray

Signed-off-by: Ryan Nett <rnett@skymind.io>

* local/static fix

Signed-off-by: Ryan Nett <rnett@skymind.io>

* Add @NonNull to options

Signed-off-by: Ryan Nett <rnett@skymind.io>

* javadoc updates/fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* more @NonNulls

Signed-off-by: Ryan Nett <rnett@skymind.io>

* even more @NonNulls, this time on varargs

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-07-20 22:16:13 +10:00
Ryan Nett 366d850f5e Add placeholder value for keras learning phase if required (#30)
* automatically add placeholders for keras_learning_phase if required

Signed-off-by: Ryan Nett <rnett@skymind.io>

* comment

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-07-20 22:03:31 +10:00
Ryan Nett cc6063402e added keepDims to INDArray methods (#33)
Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-07-20 21:58:06 +10:00
Robert Altena 0ef373fe45 Nd4j.java javadoc (#7997)
* up to line 500.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* up to line 1120.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

*  up to 1286.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* up to line 2400.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

*  up to line 2500.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* up to line 3600.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

*  up to line 4000.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* up to line 4500.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* up to line 5000.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* up to line 6000.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-07-20 12:05:46 +10:00
Alexandre Boulanger ee6aae268f RL4J refac: Added some observation transform classes (#7958)
* Added observation classes and tests

Signed-off-by: unknown <aboulang2002@yahoo.com>

* Now uses DataSetPreProcessors

Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>

* CompositeDataSetPreProcessor can now stop processing on empty dataset; Some DataSetPreProcessors moving from RL4J to ND4J

Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>

* Did requested minor changes

Signed-off-by: Alexandre Boulanger <Alexandre.Boulanger@ia.ca>
Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>
2019-07-20 10:28:20 +10:00
Samuel Audet deba1e0df9 Update dependencies to just released JavaCPP and JavaCV 1.5.1 (#8004)
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2019-07-14 21:07:33 +03:00
Robert Altena 0c48e55f91 Remove duplicate code for append() and prepend() Fix #7983 (#7987)
* fix #7983

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* small fix.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* fix javadoc.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-07-09 13:58:50 +10:00
Robert Altena 595656d01e fix #7947 (#7985)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-07-08 16:35:21 +10:00
Alex Black 1170827c18 Merge master to upstream (#7945)
* Shugeo strided slice zeros (#14)

* Modified strided_slice op to properly work with empty-like shapes.

* Fixed test for reduce_mean with empty-like input.

* [WIP] Last merge (#15)

* correct logsoftmax looss (#2)

* Small SameDiff listener fix (#4)

* Various fixes (#6)

* #7839 Fix for asXMatrix and tests

* #7866 EmbeddingSequenceLayer dtype fix + test

* #7856 SameDiff save/load stream methods

* #7859 RegressionEvaluation rank 4 fix + tests + axis configuration

* EvaluationBinary 3d/4d

* More evaluation 3d/4d tests

* #7847 Evaluation empty checks

* Small test ifx

* #7848 Fix median edge case

* Improve DL4J samediff layer tests

* [WIP] FastText wrapper implemented (#8)

* FastText implemented

* Some fixes

* Fix shapes for wordsNearest

* Validation of input vectors

* Fixes

* Fixed test

* Thread tagged

* Some tweaks

* setContextClassLoader for DeallocatorServiceThread

* Numpy format tests (#1)

* Various fixes (#11)

* #7852 SameDiff gather fix

* #7892 SameDiff placeholder to constant conversion

* #7890 validate input rank for MLN/CG init methods

* Fix broken permute shape calculation

* Permute and gather fixes

* Tests

* #7850 LogSumExp fix + test

* Handful of test fixes

* Empty arrays with non-scalar shapes (#10)

* minor rearrangements for lambdas

* empty tensors with non-scalar shapes

* numpy empty tensors with non-scalar shapes

* few more empty tweaks

* Small fixes

* conv3d signature update

* micro fix in batchnorm mkldnn

* Import fixes

* Fix

* MKL-DNN update

* Small fill fix

* fill with empty input + test

* Fixes

* Small error improvement

* Fix

* one special test

* couple of fixes for lstm

* Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone

* Fixes

* FP16

* Unsigned

* BFloat16

* Fill op - empty tweaks

* - couple of fixes for empty arrays construction
- stack updated

* strided slice fix

* one transform test

* provide method for reducing shapeInfo in case of input array is empty

* Fixed reduceAlongDimensions to use empty input properly.

* couple of broadcast tests

* couple of tests broadcast tests + tweak to make them pass

* add check of non-empty to methods producing sub-arrays

* Fixed reshapeC with zeros in shape.

* complete empty check in reduce_... legacy ops

* Concat and cumsum/prod

* Tweak to empty shape inference on import

* add empty check to the rest of reduce legacy ops

* one more test

* correct typo in evalReduceShapeInfoEmpty

* Added tests for reduce_* ops to tests with zero shapes.

* few more tests for empty reductions

* Fixed strided_slice op with empty case and tests.

* one more empty reduction test

* Fixed strided_slice test.

* add empty check to NDArray::reshapei

* infOrMax

* empty min/max with infinity tests

* made unstack working correctly with empty arrays

* few IndexReduce tests + tweaks for empty shapes

* add test for empty concat

* few tests fixed

* Validation fix for reductions on empty shapes

* Reverse fix

* Reduction shape calc fixes

* SameDiff.generateOutputVariable: don't use shape function to determine number of outputs

* Range fix

* - NDArray constructor updated for scalars/empty arrays
- few tests fixed

* More fixes

* Empty creator fixes

* concat fix

* concat fix

* TF import tests: allow 'both all NaN' and 'both all inf' to pass

* Slice, zero fraction, and reshape fixes

* transpose, gather

* Zero fraction

* scalar cast fix

* Empty reduction axis support

* few more tests fixed

* Fixed input checks conforming with TF for concat op and tests.

* few tests fixed

* matmul scalar shape fix

* Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats.

* broadcast bool fix

* few more tests

* few more tests

* correct evalReduceShapeInfoEmpty

* argmax/argmin + tests

* one more empty edge case + one more test

* argmax/argmin/realdiv_bp tweaks

* empty reshape test + fix

* Helper fixes

* Small fixes

* Gather test fix

* Gather test fix

* Small fixes

* reduce scalar zero values

* scalar mean workaround

* Remove debug code

* along dim mean workaround

* one more test

* - equalsTo() tweak for empty arrays
- one more test

* broadcast tweaks

* [WIP] Fixing outstanding issues for NLP (#9)

* Avoid using not-inited objects

* Test fixed.

* Redundant method avoided for models like FastText

* KMeans++ implementation

* KMeans++ implementation

* Disable parallel execution

* KMeans++

* Tests

* Dev branch merge (#16)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Fix some issues on master (#17)

* Fix DataVec test issue

* Fix issue with dl4j SameDiff output layer

* Dtype fix for lambda layers

* #7912 BertIterator dtype fix (use float32 not global default)

* [WIP] Next set of CUDA stuff (#7)

New CUDA implementations and improvements

* bad file

* Dev branch master merge (#23)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Compatibility of deserialization (#18)

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* SameDiff: add activation gradient checking support for debugging (#19)

* SameDiff gradient checker: first pass on activation gradient checks

* Fixes + tests for activation gradient checking

* Javadoc

* [WIP] Some nd4j data type corrections (#20)

* Adjust data type

* Set correct Data type.

* Size of proper data type.

* fix averaged cpu load (#22)

* SameDiff ops, TF import and fixes (#24)

* CheckNumerics tests + fixes + misc fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fake quant

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* FakeQuantWithMinMaxArgs

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* CheckNumerics fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix libnd4j ALL_INTS and ALL_FLOATS declaration (uint and bfloat types)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Javadoc

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Exception tweak

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix for out of scope stack allocated var use

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Ignores

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Ignore for known failing test (already logged issue)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Merge upstream to fork (#25)

* Add thousand-separator commas to TotalParams (#7915)

* Add thousand-separator commas to TotalParams

The number of parameters can be quite large, and it would help the reading of the summary printout to have the TotalParams column & values at the bottom have thousand-separator-commas in them.

* Add thousand-separator commas to MultiLayerNetwork

Corresponding change to MultiLayerNetwork

Signed-off-by: Jxtps Jxtps <jxtps435@gmail.com>

* Update contributing and issue/PR templates (#7934)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix link to AdaDelta paper (#7942)

Fix link to AdaDelta paper hosted on matthewzeiler.com

Signed-off-by: Jxtps

* Fixes, and ignores for known/logged failing issues (#7943)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* SameDiff + DL4J/SameDiff: Multiple fixes (#28)

* #7919 HDF5 attribute buffer length fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #7909 Arbiter constructor exception ux improvements

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #7925 RNN output layer length checks

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #7939 Add listener for validating inputs are not incorrectly modified

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #7939 Integrate NonInplaceValidationListener into tests

* #7844 DL4J SameDiff fixes for variable minibatch size

* DL4J SameDiff fixes - ensure gradient for input placeholder is available

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Tweaks to ExternalErrorsFunction - use placeholders, make more robust

* Another fix

* More fixes

* More SameDiff/DL4J fixes

* Scope out scalar array creation in BaseScalarOp

* Remove debug code

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* [WIP] Final dev branch merge (#29)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Compatibility of deserialization (#18)

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* SameDiff: add activation gradient checking support for debugging (#19)

* SameDiff gradient checker: first pass on activation gradient checks

* Fixes + tests for activation gradient checking

* Javadoc

* [WIP] Some nd4j data type corrections (#20)

* Adjust data type

* Set correct Data type.

* Size of proper data type.

* fix averaged cpu load (#22)

* [WIP] Multiple dataset iterators (#27)

* Splitting dataset into arbitrary number

* Fixes

* Multiple split of iterator

* Test

* Test

* Some fixes

* signature change

* one more tweak

Signed-off-by: raver119 <raver119@gmail.com>

* one more test for sequential use of DataSetIteratorSplitter

Signed-off-by: raver119 <raver119@gmail.com>

* Fixes

* Fixes

* one more test for Alexander

Signed-off-by: raver119 <raver119@gmail.com>

* Some fixes

* Some fixes

* one more test for Alexander

Signed-off-by: raver119 <raver119@gmail.com>

* minor test fix

Signed-off-by: raver119 <raver119@gmail.com>

* Some fixes

* Some fixes

* couple of assertions tweaked

Signed-off-by: raver119 <raver119@gmail.com>

* MDS splitter test :/

Signed-off-by: raver119 <raver119@gmail.com>

* Minor refactoring

* Multi dataset

* Some fixes

* More tests

* Small number of test fixes/improvements (failures on CI) (#31)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* [WIP] More CUDA stuff (#26)

* initial commit

Signed-off-by: raver119 <raver119@gmail.com>

* LRN BP CUDA

Signed-off-by: raver119 <raver119@gmail.com>

* less memory

Signed-off-by: raver119 <raver119@gmail.com>

* Fixed bug with crop_and_resize op helper.

* get rid of unnecessary index-calculation dunction

Signed-off-by: Yurii <yurii@skymind.io>

* Fixed sort with nth_element cuda-based helper.

* Refactored nth_element.

* Refactored nth_element op and tests.

* Modified usage of dim array with sortTad routine.

* Refactored main routine of helper for non_max_image_suppression op.

* non_max_image_suppression op helper with cuda kernel implementation. Initial revision.

* fix vol2col cuda kernel

* meh

Signed-off-by: raver119 <raver119@gmail.com>

* topK concept

Signed-off-by: raver119 <raver119@gmail.com>

* unsorted topK with scanWitdh of 1

Signed-off-by: raver119 <raver119@gmail.com>

* correct vol2col tests

* sorted/unsorted topK

Signed-off-by: raver119 <raver119@gmail.com>

* implementation and fixing col2im/col2vol

* Corrected usage flags with input/output with reverse op.

* dup is const now

Signed-off-by: raver119 <raver119@gmail.com>

* percentile op

Signed-off-by: raver119 <raver119@gmail.com>

* group tests for mapool2d

Signed-off-by: Yurii <yurii@skymind.io>

* special test for george

Signed-off-by: raver119 <raver119@gmail.com>

* less threads for sortTad

Signed-off-by: raver119 <raver119@gmail.com>

* provide conv2d for cuda

Signed-off-by: Yurii <yurii@skymind.io>

* remove auther in sort tad kernel code

Signed-off-by: Yurii <yurii@skymind.io>

* provide depthwise_conv2d for cuda

Signed-off-by: Yurii <yurii@skymind.io>

* - max_pooling_with_argmax
- null check for special use

Signed-off-by: raver119 <raver119@gmail.com>

* dts cuda

Signed-off-by: raver119 <raver119@gmail.com>

* provide sconv2d for cuda

Signed-off-by: Yurii <yurii@skymind.io>

* std cuda

Signed-off-by: raver119 <raver119@gmail.com>

* Refactored non_max_suppression op to conform TF implementation.

* Improved suppression helper.

* provide pooling3d for cuda

Signed-off-by: Yurii <yurii@skymind.io>

* minor lstm rearrangements

Signed-off-by: raver119 <raver119@gmail.com>

* more of minor lstm rearrangements

Signed-off-by: raver119 <raver119@gmail.com>

* (bi)dynamic_rnn

Signed-off-by: raver119 <raver119@gmail.com>

* templates init order

Signed-off-by: raver119 <raver119@gmail.com>

* Refactored non_max_suppression op.

* Added cuda kernel for non_max_suppression.

* CPU sort by key/value

Signed-off-by: raver119 <raver119@gmail.com>

* CPU sort TAD by key/value

Signed-off-by: raver119 <raver119@gmail.com>

* CPU sort TAD by key/value tests

Signed-off-by: raver119 <raver119@gmail.com>

* Eliminate compiler error with cuda implementation.

* - repaired gradCheck in cuda
- provide conv2d_bp for cuda

Signed-off-by: Yurii <yurii@skymind.io>

* missed signature

Signed-off-by: raver119 <raver119@gmail.com>

* provide depthwise_conv2d_bp for cuda

Signed-off-by: Yurii <yurii@skymind.io>

* Implementation of lup helper with cuda kernel. Initial commit.

* further work on backprops for convolutions

Signed-off-by: Yurii <yurii@skymind.io>

* CUDA linear sort by key/val

Signed-off-by: raver119 <raver119@gmail.com>

* CUDA tad sort by key/val

Signed-off-by: raver119 <raver119@gmail.com>

* start providing of backprop for pooling2d/3d

Signed-off-by: Yurii <yurii@skymind.io>

* Added atomicAdd for bool datatype.

* dynamic partition concept

Signed-off-by: raver119 <raver119@gmail.com>

* dynamic partition concept

Signed-off-by: raver119 <raver119@gmail.com>

* dynamic partition scalar CUDA

Signed-off-by: raver119 <raver119@gmail.com>

* important comment

Signed-off-by: raver119 <raver119@gmail.com>

* fix pooling2d/3d backprop helpers

Signed-off-by: Yurii <yurii@skymind.io>

* Added non-linear test with dynamic_partition.

* Improved test for dynamic_partition.

* dynamic_partition TAD concept

Signed-off-by: raver119 <raver119@gmail.com>

* - dynamic_partition TAD CUDA impl
- dynamic_partition TAD CPU fix

Signed-off-by: raver119 <raver119@gmail.com>

* - rewrite cpu code for usampling2d/3d
- write cuda code for usampling2d/3d

Signed-off-by: Yurii <yurii@skymind.io>

* dynamic_stitch CUDA vector case

Signed-off-by: raver119 <raver119@gmail.com>

* dynamic_stitch CUDA TAD case concept

Signed-off-by: raver119 <raver119@gmail.com>

* dynamic_stitch CUDA TAD case impl

Signed-off-by: raver119 <raver119@gmail.com>

* Added tests for dynamic_stitch 3D-4D cases.

* minor tests tweaks

Signed-off-by: raver119 <raver119@gmail.com>

* Fixed type check for dynamic stitch.

* min/max bp

Signed-off-by: raver119 <raver119@gmail.com>

* rewrite code for upsampling2d/3d cpu

Signed-off-by: Yurii <yurii@skymind.io>

* reduce min/max/norm_max bp

Signed-off-by: raver119 <raver119@gmail.com>

* lup implementation. Additional enhancements.

* provide code for upsamling2d/3d backprop

Signed-off-by: Yurii <yurii@skymind.io>

* weightedCrossEntropyWithLogits

Signed-off-by: raver119 <raver119@gmail.com>

* Fixed template math atomicMul for 64bit ints.

* Refactored dynamic_partition_bp op.

* inverseBroadcast fix

Signed-off-by: raver119 <raver119@gmail.com>

* DynamicPartitionBP test datatype fixed.

* - nd4j_atomicMul Windows fix
- cpu/NDArrayLambda.hpp excluded from CUDA

Signed-off-by: raver119 <raver119@gmail.com>
2019-06-27 18:37:04 +03:00
Alex Black cae4fc9760
Fixes, and ignores for known/logged failing issues (#7943)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-06-25 12:07:28 +10:00
jxtps e2db385682 Fix link to AdaDelta paper (#7942)
Fix link to AdaDelta paper hosted on matthewzeiler.com

Signed-off-by: Jxtps
2019-06-25 10:50:17 +10:00
Alex Black 68ea5f3688
Dev branch merge: dev_20190606 (#7904)
* correct logsoftmax looss (#2)

* Small SameDiff listener fix (#4)

* Various fixes (#6)

* #7839 Fix for asXMatrix and tests

* #7866 EmbeddingSequenceLayer dtype fix + test

* #7856 SameDiff save/load stream methods

* #7859 RegressionEvaluation rank 4 fix + tests + axis configuration

* EvaluationBinary 3d/4d

* More evaluation 3d/4d tests

* #7847 Evaluation empty checks

* Small test ifx

* #7848 Fix median edge case

* Improve DL4J samediff layer tests

* [WIP] FastText wrapper implemented (#8)

* FastText implemented

* Some fixes

* Fix shapes for wordsNearest

* Validation of input vectors

* Fixes

* Fixed test

* Thread tagged

* Some tweaks

* setContextClassLoader for DeallocatorServiceThread

* Numpy format tests (#1)

* Various fixes (#11)

* #7852 SameDiff gather fix

* #7892 SameDiff placeholder to constant conversion

* #7890 validate input rank for MLN/CG init methods

* Fix broken permute shape calculation

* Permute and gather fixes

* Tests

* #7850 LogSumExp fix + test

* Handful of test fixes

* Empty arrays with non-scalar shapes (#10)

* minor rearrangements for lambdas

* empty tensors with non-scalar shapes

* numpy empty tensors with non-scalar shapes

* few more empty tweaks

* Small fixes

* conv3d signature update

* micro fix in batchnorm mkldnn

* Import fixes

* Fix

* MKL-DNN update

* Small fill fix

* fill with empty input + test

* Fixes

* Small error improvement

* Fix

* one special test

* couple of fixes for lstm

* Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone

* Fixes

* FP16

* Unsigned

* BFloat16

* Fill op - empty tweaks

* - couple of fixes for empty arrays construction
- stack updated

* strided slice fix

* one transform test

* provide method for reducing shapeInfo in case of input array is empty

* Fixed reduceAlongDimensions to use empty input properly.

* couple of broadcast tests

* couple of tests broadcast tests + tweak to make them pass

* add check of non-empty to methods producing sub-arrays

* Fixed reshapeC with zeros in shape.

* complete empty check in reduce_... legacy ops

* Concat and cumsum/prod

* Tweak to empty shape inference on import

* add empty check to the rest of reduce legacy ops

* one more test

* correct typo in evalReduceShapeInfoEmpty

* Added tests for reduce_* ops to tests with zero shapes.

* few more tests for empty reductions

* Fixed strided_slice op with empty case and tests.

* one more empty reduction test

* Fixed strided_slice test.

* add empty check to NDArray::reshapei

* infOrMax

* empty min/max with infinity tests

* made unstack working correctly with empty arrays

* few IndexReduce tests + tweaks for empty shapes

* add test for empty concat

* few tests fixed

* Validation fix for reductions on empty shapes

* Reverse fix

* Reduction shape calc fixes

* SameDiff.generateOutputVariable: don't use shape function to determine number of outputs

* Range fix

* - NDArray constructor updated for scalars/empty arrays
- few tests fixed

* More fixes

* Empty creator fixes

* concat fix

* concat fix

* TF import tests: allow 'both all NaN' and 'both all inf' to pass

* Slice, zero fraction, and reshape fixes

* transpose, gather

* Zero fraction

* scalar cast fix

* Empty reduction axis support

* few more tests fixed

* Fixed input checks conforming with TF for concat op and tests.

* few tests fixed

* matmul scalar shape fix

* Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats.

* broadcast bool fix

* few more tests

* few more tests

* correct evalReduceShapeInfoEmpty

* argmax/argmin + tests

* one more empty edge case + one more test

* argmax/argmin/realdiv_bp tweaks

* empty reshape test + fix

* Helper fixes

* Small fixes

* Gather test fix

* Gather test fix

* Small fixes

* reduce scalar zero values

* scalar mean workaround

* Remove debug code

* along dim mean workaround

* one more test

* - equalsTo() tweak for empty arrays
- one more test

* broadcast tweaks
2019-06-15 21:34:34 +10:00
Alex Black 32e5cc1945
First round of runtime test improvements (#7875)
* Capsnet test runtime improvements

* Slow test speedups

* Next round of test speed improvements

* More test improvements

* Improve test speed

* Next round of test speedups

* Another round

* More test speedups

* Another round

* Another round of test speedups

* Another round of speedups...

* CuDNN test speedups + more tests extending BaseDL4JTest

* Minor fix + more BaseDL4JTest use in other modules
2019-06-13 20:40:40 +10:00
skymindops b5f0ec072f Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00